{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T21:46:56Z","timestamp":1785793616699,"version":"3.56.0"},"reference-count":202,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2024,10,15]],"date-time":"2024-10-15T00:00:00Z","timestamp":1728950400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,10,15]],"date-time":"2024-10-15T00:00:00Z","timestamp":1728950400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100020884","name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo","doi-asserted-by":"publisher","award":["ANID-PFCHA\/National Doctorate Program\/2019-21190693"],"award-info":[{"award-number":["ANID-PFCHA\/National Doctorate Program\/2019-21190693"]}],"id":[{"id":"10.13039\/501100020884","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100020884","name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo","doi-asserted-by":"publisher","award":["ANID-FONDEF-IT19I0113"],"award-info":[{"award-number":["ANID-FONDEF-IT19I0113"]}],"id":[{"id":"10.13039\/501100020884","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100020884","name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo","doi-asserted-by":"publisher","award":["ANID-FONDECYT-1211378"],"award-info":[{"award-number":["ANID-FONDECYT-1211378"]}],"id":[{"id":"10.13039\/501100020884","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100020884","name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo","doi-asserted-by":"publisher","award":["ANID-FSEQ210018"],"award-info":[{"award-number":["ANID-FSEQ210018"]}],"id":[{"id":"10.13039\/501100020884","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100020884","name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo","doi-asserted-by":"publisher","award":["ANID-FONDAP-15110019"],"award-info":[{"award-number":["ANID-FONDAP-15110019"]}],"id":[{"id":"10.13039\/501100020884","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100020884","name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo","doi-asserted-by":"publisher","award":["ANID-FB0816"],"award-info":[{"award-number":["ANID-FB0816"]}],"id":[{"id":"10.13039\/501100020884","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Ann Oper Res"],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1007\/s10479-024-06339-0","type":"journal-article","created":{"date-parts":[[2024,10,15]],"date-time":"2024-10-15T11:07:46Z","timestamp":1728990466000},"page":"533-588","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Water resources management: a bibliometric analysis and future research directions"],"prefix":"10.1007","volume":"358","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8573-2742","authenticated-orcid":false,"given":"Marcel","family":"Favereau","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fr\u00e9d\u00e9ric","family":"Babonneau","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u00c1lvaro","family":"Lorca","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,10,15]]},"reference":[{"key":"6339_CR1","unstructured":"Alarcon, L., & Marks, D. (1979). A stochastic dynamic programming model for the operation of the high aswan dam. Ralph M. Parsons Laboratory for Water Resources and Hydrodynamics, Department of Civil Engineering, Massachusetts Institute of Technology."},{"key":"6339_CR2","doi-asserted-by":"crossref","unstructured":"Alvarez, M., Ronnberg, S., Bermudez, J., Zhong, J., & Bollen, M. (2017). A hydro-reservoir generic storage model for short-term hydrothermal coordination.","DOI":"10.1109\/PTC.2017.7980882"},{"key":"6339_CR3","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1016\/j.epsr.2017.09.028","volume":"155","author":"M Alvarez","year":"2018","unstructured":"Alvarez, M., R\u00f6nnberg, S., Berm\u00fadez, J., Zhong, J., & Bollen, M. (2018). Reservoir-type hydropower equivalent model based on a future cost piecewise approximation. Electric Power Systems Research, 155, 184\u2013195. https:\/\/doi.org\/10.1016\/j.epsr.2017.09.028","journal-title":"Electric Power Systems Research"},{"issue":"2","key":"6339_CR4","doi-asserted-by":"publisher","first-page":"579","DOI":"10.1016\/j.ejor.2010.05.013","volume":"207","author":"L Andrieu","year":"2010","unstructured":"Andrieu, L., Henrion, R., & R\u00f6misch, W. (2010). A model for dynamic chance constraints in hydro power reservoir management. European Journal of Operational Research, 207(2), 579\u2013589. https:\/\/doi.org\/10.1016\/j.ejor.2010.05.013","journal-title":"European Journal of Operational Research"},{"issue":"6","key":"6339_CR5","doi-asserted-by":"publisher","first-page":"753","DOI":"10.1007\/s10666-018-9628-0","volume":"23","author":"TW Archibald","year":"2018","unstructured":"Archibald, T. W., & Marshall, S. E. (2018). Review of mathematical programming applications in water resource management under uncertainty. Environmental Modeling & Assessment, 23(6), 753\u2013777.","journal-title":"Environmental Modeling & Assessment"},{"key":"6339_CR6","unstructured":"Avell\u00e1 Fluvi\u00e1, M., Boukir, K., & Martinetto, P. (2005). Handling a co2 reservoir in mid term generation scheduling."},{"issue":"3","key":"6339_CR7","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1016\/0377-2217(84)90152-8","volume":"18","author":"W Baker","year":"1984","unstructured":"Baker, W., & Daellenbach, H. (1984). Two-phase optimization of coal strategies at a power station. European Journal of Operational Research, 18(3), 304\u2013314. https:\/\/doi.org\/10.1016\/0377-2217(84)90152-8","journal-title":"European Journal of Operational Research"},{"key":"6339_CR8","unstructured":"Barqu\u00edn, J., Centeno, E., & Reneses, J. (2004). Stochastic market equilibrium model for generation planning. (pp. 367\u2013372)."},{"issue":"4","key":"6339_CR9","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1017\/S0269964805050357","volume":"19","author":"J Barqu\u00edn","year":"2005","unstructured":"Barqu\u00edn, J., Centeno, E., & Reneses, J. (2005). Stochastic market equilibrium model for generation planning. Probability in the Engineering and Informational Sciences, 19(4), 533\u2013546. https:\/\/doi.org\/10.1017\/S0269964805050357","journal-title":"Probability in the Engineering and Informational Sciences"},{"issue":"5","key":"6339_CR10","first-page":"679","volume":"6","author":"R Bellman","year":"1957","unstructured":"Bellman, R. (1957). A markovian decision process. Journal of Mathematics and Mechanics, 6(5), 679\u2013684.","journal-title":"Journal of Mathematics and Mechanics"},{"key":"6339_CR11","doi-asserted-by":"crossref","unstructured":"Belsnes, M., Haugstad, A., Mo, B., & Markussen, P. (2003). Quota modeling in hydrothermal systems. (Vol.\u00a03, pp. 164\u2013170).","DOI":"10.1109\/PTC.2003.1304382"},{"key":"6339_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2020.106659","author":"F Beltr\u00e1n","year":"2021","unstructured":"Beltr\u00e1n, F., Finardi, E., & de Oliveira, W. (2021). Two-stage and multi-stage decompositions for the medium-term hydrothermal scheduling problem: A computational comparison of solution techniques. International Journal of Electrical Power and Energy Systems. https:\/\/doi.org\/10.1016\/j.ijepes.2020.106659","journal-title":"International Journal of Electrical Power and Energy Systems"},{"key":"6339_CR13","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1007\/BF01386316","volume":"4","author":"J Benders","year":"1962","unstructured":"Benders, J. (1962). Partitioning procedures for solving mixed-variables programming problems. Numerische Mathematik, 4, 238\u2013252. https:\/\/doi.org\/10.1007\/BF01386316","journal-title":"Numerische Mathematik"},{"issue":"2","key":"6339_CR14","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1287\/mnsc.1120.1641","volume":"59","author":"A Ben-Tal","year":"2013","unstructured":"Ben-Tal, A., den Hertog, D., De Waegenaere, A., Melenberg, B., & Rennen, G. (2013). Robust solutions of optimization problems affected by uncertain probabilities. Management Science, 59(2), 341\u2013357. https:\/\/doi.org\/10.1287\/mnsc.1120.1641","journal-title":"Management Science"},{"issue":"1","key":"6339_CR15","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1007\/s10107-014-0750-8","volume":"149","author":"A Ben-Tal","year":"2015","unstructured":"Ben-Tal, A., den Hertog, D., & Vial, J.-P. (2015). Deriving robust counterparts of nonlinear uncertain inequalities. Mathematical Programming, 149(1), 265\u2013299.","journal-title":"Mathematical Programming"},{"issue":"1","key":"6339_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S0167-6377(99)00016-4","volume":"25","author":"A Ben-Tal","year":"1999","unstructured":"Ben-Tal, A., & Nemirovski, A. (1999). Robust solutions of uncertain linear programs. Operations Research Letters, 25(1), 1\u201313. https:\/\/doi.org\/10.1016\/S0167-6377(99)00016-4","journal-title":"Operations Research Letters"},{"key":"6339_CR17","doi-asserted-by":"crossref","unstructured":"Bernardinelli, L., & Martins, L. (2017). Equilibrium approach to the single solution of longer- and shorter-term hydro-thermal scheduling problems. (pp. 471\u2013478).","DOI":"10.1109\/ICCEP.2017.8004730"},{"key":"6339_CR18","unstructured":"Bertsekas, D.P. (2017). Dynamic programming and optimal control (4th ed.). Athena Scientific."},{"key":"6339_CR19","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1287\/opre.1030.0065","volume":"52","author":"D Bertsimas","year":"2004","unstructured":"Bertsimas, D., & Sim, M. (2004). The price of robustness. Operations Research, 52, 35\u201353. https:\/\/doi.org\/10.1287\/opre.1030.0065","journal-title":"Operations Research"},{"key":"6339_CR20","doi-asserted-by":"publisher","DOI":"10.1007\/s11081-022-09764-x","author":"P Borges","year":"2022","unstructured":"Borges, P., Sagastiz\u00e1bal, C., Solodov, M., Liberti, L., & D\u2019Ambrosio, C. (2022). Profit sharing mechanisms in multi-owned cascaded hydrosystems. Optimization and Engineering. https:\/\/doi.org\/10.1007\/s11081-022-09764-x","journal-title":"Optimization and Engineering"},{"issue":"1","key":"6339_CR21","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1029\/WR019i001p00033","volume":"19","author":"RL Bras","year":"1983","unstructured":"Bras, R. L., Buchanan, R., & Curry, K. C. (1983). Real time adaptive closed loop control of reservoirs with the high aswan dam as a case study. Water Resources Research, 19(1), 33\u201352. https:\/\/doi.org\/10.1029\/WR019i001p00033","journal-title":"Water Resources Research"},{"issue":"1","key":"6339_CR22","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1111\/j.1752-1688.1971.tb01683.x","volume":"7","author":"WS Butcher","year":"1971","unstructured":"Butcher, W. S. (1971). Stochastic dynamic programming for optimum reservoir operation. JAWRA Journal of the American Water Resources Association, 7(1), 115\u2013123. https:\/\/doi.org\/10.1111\/j.1752-1688.1971.tb01683.x","journal-title":"JAWRA Journal of the American Water Resources Association"},{"key":"6339_CR23","doi-asserted-by":"crossref","unstructured":"Cabral, R., & Diniz, A. (2016). Assessment of a new state-dependent dynamic piecewise linear model of thermal generation costs for hydrothermal coordination. (Vol. 2016-November).","DOI":"10.1109\/PESGM.2016.7741799"},{"issue":"2","key":"6339_CR24","doi-asserted-by":"publisher","first-page":"1033","DOI":"10.5194\/hess-25-1033-2021","volume":"25","author":"M Cassagnole","year":"2021","unstructured":"Cassagnole, M., Ramos, M.-H., Zalachori, I., Thirel, G., Gar\u00e7on, R., Gailhard, J., & Ouillon, T. (2021). Impact of the quality of hydrological forecasts on the management and revenue of hydroelectric reservoirs-a conceptual approach. Hydrology and Earth System Sciences, 25(2), 1033\u20131052. https:\/\/doi.org\/10.5194\/hess-25-1033-2021","journal-title":"Hydrology and Earth System Sciences"},{"issue":"2","key":"6339_CR25","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1049\/ip-gtd:20020120","volume":"149","author":"T Cau","year":"2002","unstructured":"Cau, T., & Kaye, R. (2002). Evolutionary optimisation method for multistorage hydrothermal scheduling. IEE Proceedings: Generation, Transmission and Distribution, 149(2), 152\u2013156. https:\/\/doi.org\/10.1049\/ip-gtd:20020120","journal-title":"IEE Proceedings: Generation, Transmission and Distribution"},{"issue":"5","key":"6339_CR26","doi-asserted-by":"publisher","first-page":"2139","DOI":"10.2166\/ws.2020.265","volume":"21","author":"H Chen","year":"2021","unstructured":"Chen, H., & Wang, Z. (2021). An inexact multi-stage interval-parameter partial information programming model for water resources management under uncertainties. Water Supply, 21(5), 2139\u20132157. https:\/\/doi.org\/10.2166\/ws.2020.265","journal-title":"Water Supply"},{"key":"6339_CR27","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)WR.1943-5452.0001632","author":"D Cid","year":"2023","unstructured":"Cid, D., De Souza Filho, F., & Porto, V. (2023). Collaborative modeling to construct a hedging policy for drought management in reservoir systems. Journal of Water Resources Planning and Management. https:\/\/doi.org\/10.1061\/(ASCE)WR.1943-5452.0001632","journal-title":"Journal of Water Resources Planning and Management"},{"key":"6339_CR28","doi-asserted-by":"crossref","unstructured":"Costa, L., Diniz, A., & Santos, T. (2008). Sensitivity analysis on different types of electrical network modeling for the network constrained hydrothermal scheduling problem.","DOI":"10.1109\/TDC-LA.2008.4641784"},{"key":"6339_CR29","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1016\/j.epsr.2016.05.032","volume":"140","author":"M Cruz","year":"2016","unstructured":"Cruz, M., Finardi, E., de Matos, V., & Luna, J. (2016). Strategic bidding for price-maker producers in predominantly hydroelectric systems. Electric Power Systems Research, 140, 435\u2013444. https:\/\/doi.org\/10.1016\/j.epsr.2016.05.032","journal-title":"Electric Power Systems Research"},{"key":"6339_CR30","volume-title":"Multivariate seasonal time series forecast with application to adaptive control (Tech. Rep.)","author":"K Curry","year":"1980","unstructured":"Curry, K., & Bras, R. L. (1980). Multivariate seasonal time series forecast with application to adaptive control (Tech. Rep.). Massachusetts Institute of Technology."},{"key":"6339_CR31","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2015.2510628","author":"H Dashti","year":"2016","unstructured":"Dashti, H., Conejo, A., Jiang, R., & Wang, J. (2016). Weekly two-stage robust generation scheduling for hydrothermal power systems. IEEE Transactions on Power Systems. https:\/\/doi.org\/10.1109\/TPWRS.2015.2510628","journal-title":"IEEE Transactions on Power Systems"},{"key":"6339_CR32","doi-asserted-by":"publisher","first-page":"1679","DOI":"10.1016\/j.jhydrol.2015.08.018","volume":"529","author":"C Davidsen","year":"2015","unstructured":"Davidsen, C., Liu, S., Mo, X., Holm, P., Trapp, S., Rosbjerg, D., & Bauer-Gottwein, P. (2015). Hydroeconomic optimization of reservoir management under downstream water quality constraints. Journal of Hydrology, 529, 1679\u20131689. https:\/\/doi.org\/10.1016\/j.jhydrol.2015.08.018","journal-title":"Journal of Hydrology"},{"issue":"6","key":"6339_CR33","doi-asserted-by":"publisher","first-page":"5931","DOI":"10.5194\/hessd-12-5931-2015","volume":"12","author":"C Davidsen","year":"2015","unstructured":"Davidsen, C., Liu, S., Mo, X., Rosbjerg, D., & Bauer-Gottwein, P. (2015). The cost of ending groundwater overdraft on the North China plain. Hydrology and Earth System Sciences Discussions, 12(6), 5931\u20135966. https:\/\/doi.org\/10.5194\/hessd-12-5931-2015","journal-title":"Hydrology and Earth System Sciences Discussions"},{"key":"6339_CR34","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)WR.1943-5452.0000482","author":"C Davidsen","year":"2015","unstructured":"Davidsen, C., Pereira-Cardenal, S., Liu, S., Mo, X., Rosbjerg, D., & Bauer-Gottwein, P. (2015). Using stochastic dynamic programming to support water resources management in the Ziya River Basin, China. Journal of Water Resources Planning and Management. https:\/\/doi.org\/10.1061\/(ASCE)WR.1943-5452.0000482","journal-title":"Journal of Water Resources Planning and Management"},{"key":"6339_CR35","doi-asserted-by":"publisher","first-page":"382","DOI":"10.1016\/j.rser.2016.04.065","volume":"62","author":"A de Queiroz","year":"2016","unstructured":"de Queiroz, A. (2016). Stochastic hydro-thermal scheduling optimization: An overview. Renewable and Sustainable Energy Reviews, 62, 382\u2013395. https:\/\/doi.org\/10.1016\/j.rser.2016.04.065","journal-title":"Renewable and Sustainable Energy Reviews"},{"key":"6339_CR36","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1016\/j.renene.2016.07.022","volume":"99","author":"A de Queiroz","year":"2016","unstructured":"de Queiroz, A., Marangon Lima, L., Marangon Lima, J., da Silva, B., & Scianni, L. (2016). Climate change impacts in the energy supply of the brazilian hydro-dominant power system. Renewable Energy, 99, 379\u2013389. https:\/\/doi.org\/10.1016\/j.renene.2016.07.022","journal-title":"Renewable Energy"},{"key":"6339_CR37","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.epsr.2015.02.014","volume":"124","author":"C De Castro","year":"2015","unstructured":"De Castro, C., Marcato, A., Souza, R., Silva Junior, I., Oliveira, F., & Pulinho, T. (2015). The generation of synthetic inflows via bootstrap to increase the energy efficiency of long-term hydrothermal dispatches. Electric Power Systems Research, 124, 33\u201346. https:\/\/doi.org\/10.1016\/j.epsr.2015.02.014","journal-title":"Electric Power Systems Research"},{"issue":"1","key":"6339_CR38","doi-asserted-by":"publisher","first-page":"1443","DOI":"10.1016\/j.ijepes.2012.06.021","volume":"43","author":"V de Matos","year":"2012","unstructured":"de Matos, V., & Finardi, E. (2012). A computational study of a stochastic optimization model for long term hydrothermal scheduling. International Journal of Electrical Power and Energy Systems, 43(1), 1443\u20131452. https:\/\/doi.org\/10.1016\/j.ijepes.2012.06.021","journal-title":"International Journal of Electrical Power and Energy Systems"},{"key":"6339_CR39","doi-asserted-by":"crossref","unstructured":"De\u00a0Matos, V., Larroyd, P., & Finardi, E. (2014). Assessment of the long-term hydrothermal scheduling operation polices with alternative inflow modeling.","DOI":"10.1109\/PSCC.2014.7038350"},{"issue":"2","key":"6339_CR40","doi-asserted-by":"publisher","first-page":"713","DOI":"10.1007\/s10479-016-2107-6","volume":"253","author":"V de Matos","year":"2017","unstructured":"de Matos, V., Morton, D., & Finardi, E. (2017). Assessing policy quality in a multistage stochastic program for long-term hydrothermal scheduling. Annals of Operations Research, 253(2), 713\u2013731. https:\/\/doi.org\/10.1007\/s10479-016-2107-6","journal-title":"Annals of Operations Research"},{"key":"6339_CR41","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1016\/j.cam.2015.04.048","volume":"290","author":"V De Matos","year":"2015","unstructured":"De Matos, V., Philpott, A., & Finardi, E. (2015). Improving the performance of stochastic dual dynamic programming. Journal of Computational and Applied Mathematics, 290, 196\u2013208. https:\/\/doi.org\/10.1016\/j.cam.2015.04.048","journal-title":"Journal of Computational and Applied Mathematics"},{"key":"6339_CR42","unstructured":"De\u00a0Matos, V., Philpott, A., Finardi, E., & Guan, Z. (2011). Solving long-term hydrothermal scheduling problems."},{"issue":"1","key":"6339_CR43","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1016\/j.ejor.2015.05.048","volume":"249","author":"TH de Mello","year":"2016","unstructured":"de Mello, T. H., & Pagnoncelli, B. K. (2016). Risk aversion in multistage stochastic programming: A modeling and algorithmic perspective. European Journal of Operational Research, 249(1), 188\u2013199. https:\/\/doi.org\/10.1016\/j.ejor.2015.05.048","journal-title":"European Journal of Operational Research"},{"key":"6339_CR44","unstructured":"De\u00a0Souza, M., Martins, L., & Filho, S. (2013). Advantages of deterministic optimization in long-term hydrothermal scheduling of large-scale power systems."},{"issue":"157","key":"6339_CR45","first-page":"91","volume":"76","author":"J Diaz","year":"2009","unstructured":"Diaz, J. (2009). Technical efficiency as a new approach to hydroelectric generation in the short term [la eficiencia t\u00e9cnica como un nuevo criterio de optimizaci\u00f3n para la generaci\u00f3n hidroel\u00e9ctrica a corto plazo]. DYNA (Colombia), 76(157), 91\u2013100.","journal-title":"DYNA (Colombia)"},{"key":"6339_CR46","unstructured":"Diniz, A., Maceira, M., Tcheou, M., Santos, T., Duarte, V., & Penna, D. (2011). Hydrothermal generation planning with time-linking constraints on the dispatch of liquefied natural gas (lng) thermal plants."},{"key":"6339_CR47","doi-asserted-by":"crossref","unstructured":"Diniz, A., Saboia, A., & Andrade, R. (2016). An exact multi-plant hydro power production function for mid\/long term hydrothermal coordination.","DOI":"10.1109\/PSCC.2016.7541013"},{"key":"6339_CR48","doi-asserted-by":"crossref","unstructured":"Diniz, A., Santos, T., & MacEira, M. (2006). Short term security constrained hydrothermal scheduling considering transmission losses.","DOI":"10.1109\/TDCLA.2006.311437"},{"issue":"3","key":"6339_CR49","doi-asserted-by":"publisher","first-page":"1383","DOI":"10.1109\/TPWRS.2009.2023265","volume":"24","author":"T dos Santos","year":"2009","unstructured":"dos Santos, T., & Diniz, A. (2009). A new multiperiod stage definition for the multistage benders decomposition approach applied to hydrothermal scheduling. IEEE Transactions on Power Systems, 24(3), 1383\u20131392. https:\/\/doi.org\/10.1109\/TPWRS.2009.2023265","journal-title":"IEEE Transactions on Power Systems"},{"issue":"1\u20132","key":"6339_CR50","doi-asserted-by":"publisher","first-page":"907","DOI":"10.1007\/s10107-022-01872-x","volume":"196","author":"O Dowson","year":"2022","unstructured":"Dowson, O., Morton, D., & Downward, A. (2022). Bi-objective multistage stochastic linear programming. Mathematical Programming, 196(1\u20132), 907\u2013933. https:\/\/doi.org\/10.1007\/s10107-022-01872-x","journal-title":"Mathematical Programming"},{"issue":"1\u20132","key":"6339_CR51","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/s0377-2217(96)90052-1","volume":"89","author":"N Drouin","year":"1996","unstructured":"Drouin, N., Gautier, A., Lamond, B., & Lang, P. (1996). Piecewise affine approximations for the control of a one-reservoir hydroelectric system. European Journal of Operational Research, 89(1\u20132), 53\u201369. https:\/\/doi.org\/10.1016\/s0377-2217(96)90052-1","journal-title":"European Journal of Operational Research"},{"key":"6339_CR52","doi-asserted-by":"publisher","DOI":"10.1061\/JWRMD5.WRENG-6349","author":"A Dur\u00e1n","year":"2024","unstructured":"Dur\u00e1n, A., Favereau, M., Lorca, \u00c1lvaro., Vicu\u00f1a, S., Melo, \u00d3scar., & Negrete-Pincetic, M. (2024). Evaluation of multipurpose reservoir operating policies at basin and electric power system scales. Journal of Water Resources Planning and Management. https:\/\/doi.org\/10.1061\/JWRMD5.WRENG-6349","journal-title":"Journal of Water Resources Planning and Management"},{"issue":"2","key":"6339_CR53","doi-asserted-by":"publisher","first-page":"604","DOI":"10.1109\/TPWRS.2010.2063042","volume":"26","author":"F D\u00edaz","year":"2011","unstructured":"D\u00edaz, F., Contreras, J., Mu\u00f1oz, J., & Pozo, D. (2011). Optimal scheduling of a price-taker cascaded reservoir system in a pool-based electricity market. IEEE Transactions on Power Systems, 26(2), 604\u2013615. https:\/\/doi.org\/10.1109\/TPWRS.2010.2063042","journal-title":"IEEE Transactions on Power Systems"},{"issue":"1","key":"6339_CR54","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1109\/TPWRS.2016.2555360","volume":"32","author":"R Egging","year":"2017","unstructured":"Egging, R., Fleten, S.-E., Gronvik, I., Hadziomerovic, A., & Ingvoldstad, N. (2017). Linear decision rules for hydropower scheduling under uncertainty. IEEE Transactions on Power Systems, 32(1), 103\u2013113. https:\/\/doi.org\/10.1109\/TPWRS.2016.2555360","journal-title":"IEEE Transactions on Power Systems"},{"issue":"4","key":"6339_CR55","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1007\/s10287-022-00431-1","volume":"19","author":"K El Karfi","year":"2022","unstructured":"El Karfi, K., Henrion, R., & Mentagui, D. (2022). An agricultural investment problem subject to probabilistic constraints. Computational Management Science, 19(4), 683\u2013701. https:\/\/doi.org\/10.1007\/s10287-022-00431-1","journal-title":"Computational Management Science"},{"key":"6339_CR56","doi-asserted-by":"publisher","first-page":"705","DOI":"10.1016\/j.ijepes.2014.06.024","volume":"63","author":"M Ennes","year":"2014","unstructured":"Ennes, M., & Diniz, A. (2014). An efficient equivalent thermal cost function model for nonlinear mid-term hydrothermal generation planning. International Journal of Electrical Power and Energy Systems, 63, 705\u2013712. https:\/\/doi.org\/10.1016\/j.ijepes.2014.06.024","journal-title":"International Journal of Electrical Power and Energy Systems"},{"key":"6339_CR57","doi-asserted-by":"publisher","DOI":"10.1029\/2021WR030582","author":"V Espanmanesh","year":"2022","unstructured":"Espanmanesh, V., & Tilmant, A. (2022). Optimizing the management of multireservoir systems under shifting flow regimes. Water Resources Research. https:\/\/doi.org\/10.1029\/2021WR030582","journal-title":"Water Resources Research"},{"issue":"10","key":"6339_CR58","doi-asserted-by":"publisher","first-page":"3609","DOI":"10.1007\/s11269-016-1377-8","volume":"30","author":"F Fan","year":"2016","unstructured":"Fan, F., Schwanenberg, D., Alvarado, R., Assis dos Reis, A., Collischonn, W., & Naumman, S. (2016). Performance of deterministic and probabilistic hydrological forecasts for the short-term optimization of a tropical hydropower reservoir. Water Resources Management, 30(10), 3609\u20133625. https:\/\/doi.org\/10.1007\/s11269-016-1377-8","journal-title":"Water Resources Management"},{"issue":"9","key":"6339_CR59","doi-asserted-by":"publisher","first-page":"1308","DOI":"10.1016\/j.epsr.2009.04.001","volume":"79","author":"I Farhat","year":"2009","unstructured":"Farhat, I., & El-Hawary, M. (2009). Optimization methods applied for solving the short-term hydrothermal coordination problem. Electric Power Systems Research, 79(9), 1308\u20131320. https:\/\/doi.org\/10.1016\/j.epsr.2009.04.001","journal-title":"Electric Power Systems Research"},{"key":"6339_CR60","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2022.106051","author":"M Favereau","year":"2023","unstructured":"Favereau, M., Lorca, A., & Negrete-Pincetic, M. (2023). Multistage adaptive robust optimization for the hydrothermal scheduling problem. Computers and Operations Research. https:\/\/doi.org\/10.1016\/j.cor.2022.106051","journal-title":"Computers and Operations Research"},{"issue":"11","key":"6339_CR61","doi-asserted-by":"publisher","first-page":"3979","DOI":"10.1007\/s00477-022-02241-y","volume":"36","author":"M Favereau","year":"2022","unstructured":"Favereau, M., Lorca, A., Negrete-Pincetic, M., & Vicu\u00f1a, S. (2022). Robust streamflow forecasting: A student\u2019s t-mixture vector autoregressive model. Stochastic Environmental Research and Risk Assessment, 36(11), 3979\u20133995. https:\/\/doi.org\/10.1007\/s00477-022-02241-y","journal-title":"Stochastic Environmental Research and Risk Assessment"},{"issue":"3","key":"6339_CR62","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1007\/s40313-013-0039-9","volume":"24","author":"E Finardi","year":"2013","unstructured":"Finardi, E., Decker, B., & De Matos, V. (2013). An introductory tutorial on stochastic programming using a long-term hydrothermal scheduling problem. Journal of Control, Automation and Electrical Systems, 24(3), 361\u2013376. https:\/\/doi.org\/10.1007\/s40313-013-0039-9","journal-title":"Journal of Control, Automation and Electrical Systems"},{"issue":"2","key":"6339_CR63","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1049\/iet-gtd.2009.0107","volume":"4","author":"B Flach","year":"2010","unstructured":"Flach, B., Barroso, L., & Pereira, M. (2010). Long-term optimal allocation of hydro generation for a price-maker company in a competitive market: Latest developments and a stochastic dual dynamic programming approach. IET Generation, Transmission and Distribution, 4(2), 299\u2013314. https:\/\/doi.org\/10.1049\/iet-gtd.2009.0107","journal-title":"IET Generation, Transmission and Distribution"},{"key":"6339_CR64","unstructured":"Fleten, S.-E., Haugstvedt, D., Steinsb\u00f8, J., Belsnes, M., & Fleischmann, F. (2011). Bidding hydropower generation: Integrating short- and long-term scheduling."},{"issue":"1","key":"6339_CR65","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1109\/59.744487","volume":"14","author":"O Fosso","year":"1999","unstructured":"Fosso, O., Gjelsvik, A., Haugstad, A., Mo, B., & Wangensteen, I. (1999). Generation scheduling in a deregulated system. The Norwegian case. IEEE Transactions on Power Systems, 14(1), 75\u201381. https:\/\/doi.org\/10.1109\/59.744487","journal-title":"IEEE Transactions on Power Systems"},{"key":"6339_CR66","unstructured":"F\u00fcllner, C., & Rebennack, S. (2019). Stochastic dual dynamic programming and its variants. (preprint on webpage at https:\/\/optimization-online.org\/?p=16920)"},{"issue":"1","key":"6339_CR67","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1016\/j.ejor.2017.01.044","volume":"261","author":"C Gauvin","year":"2017","unstructured":"Gauvin, C., Delage, E., & Gendreau, M. (2017). Decision rule approximations for the risk averse reservoir management problem. European Journal of Operational Research, 261(1), 317\u2013336. https:\/\/doi.org\/10.1016\/j.ejor.2017.01.044","journal-title":"European Journal of Operational Research"},{"issue":"2","key":"6339_CR68","doi-asserted-by":"publisher","first-page":"716","DOI":"10.1016\/j.ejor.2017.12.007","volume":"267","author":"C Gauvin","year":"2018","unstructured":"Gauvin, C., Delage, E., & Gendreau, M. (2018). A stochastic program with time series and affine decision rules for the reservoir management problem. European Journal of Operational Research, 267(2), 716\u2013732. https:\/\/doi.org\/10.1016\/j.ejor.2017.12.007","journal-title":"European Journal of Operational Research"},{"issue":"3","key":"6339_CR69","first-page":"419","volume":"70","author":"AL Gibbs","year":"2002","unstructured":"Gibbs, A. L., & Su, F. E. (2002). On choosing and bounding probability metrics. International Statistical Review\/Revue Internationale de Statistique, 70(3), 419\u2013435.","journal-title":"International Statistical Review\/Revue Internationale de Statistique"},{"key":"6339_CR70","doi-asserted-by":"publisher","DOI":"10.1029\/2021WR029927","author":"M Giuliani","year":"2021","unstructured":"Giuliani, M., Lamontagne, J., Reed, P., & Castelletti, A. (2021). A state-of-the-art review of optimal reservoir control for managing conflicting demands in a changing world. Water Resources Research. https:\/\/doi.org\/10.1029\/2021WR029927","journal-title":"Water Resources Research"},{"key":"6339_CR71","doi-asserted-by":"crossref","unstructured":"Gjerden, K., Helseth, A., Mo, B., & Warland, G. (2015). Hydrothermal scheduling in norway using stochastic dual dynamic programming; a large-scale case study.","DOI":"10.1109\/PTC.2015.7232278"},{"issue":"9","key":"6339_CR72","doi-asserted-by":"publisher","first-page":"2837","DOI":"10.1007\/s11269-020-02586-5","volume":"34","author":"J Gonzalez","year":"2020","unstructured":"Gonzalez, J., Olivares, M., Medell\u00edn-Azuara, J., & Moreno, R. (2020). Multipurpose reservoir operation: A multi-scale tradeoff analysis between hydropower generation and irrigated agriculture. Water Resources Management, 34(9), 2837\u20132849. https:\/\/doi.org\/10.1007\/s11269-020-02586-5","journal-title":"Water Resources Management"},{"key":"6339_CR73","doi-asserted-by":"crossref","unstructured":"Gonz\u00e1lez, J., Olivares, M., Medell\u00edn-Azuara, J., Moreno, R., & Marques, G. (2016). Multi-purpose reservoir operation: A tradeoff analysis between hydropower generation and irrigated agriculture using hydro-economic models. (pp. 241\u2013250).","DOI":"10.1061\/9780784479858.026"},{"key":"6339_CR74","doi-asserted-by":"crossref","unstructured":"Gronvik, I., Hadziomerovic, A., Ingvoldstad, N., Egging, R., & Fleten, S.-E. (2014). Feasibility of linear decision rules for hydropower scheduling.","DOI":"10.1109\/PMAPS.2014.6960644"},{"key":"6339_CR75","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)WR.1943-5452.0000858","author":"Z Guan","year":"2018","unstructured":"Guan, Z., Shawwash, Z., & Abdalla, A. (2018). Using sddp to develop water-value functions for a multireservoir system with international treaties. Journal of Water Resources Planning and Management. https:\/\/doi.org\/10.1061\/(ASCE)WR.1943-5452.0000858","journal-title":"Journal of Water Resources Planning and Management"},{"key":"6339_CR76","doi-asserted-by":"publisher","first-page":"584","DOI":"10.1016\/j.apenergy.2018.10.045","volume":"233\u2013234","author":"O Guerra","year":"2019","unstructured":"Guerra, O., Tejada, D., & Reklaitis, G. (2019). Climate change impacts and adaptation strategies for a hydro-dominated power system via stochastic optimization. Applied Energy, 233\u2013234, 584\u2013598. https:\/\/doi.org\/10.1016\/j.apenergy.2018.10.045","journal-title":"Applied Energy"},{"issue":"1","key":"6339_CR77","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1007\/s10589-013-9584-1","volume":"57","author":"V Guigues","year":"2014","unstructured":"Guigues, V. (2014). Sddp for some interstage dependent risk-averse problems and application to hydro-thermal planning. Computational Optimization and Applications, 57(1), 167\u2013203. https:\/\/doi.org\/10.1007\/s10589-013-9584-1","journal-title":"Computational Optimization and Applications"},{"issue":"1","key":"6339_CR78","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/j.ejor.2011.08.017","volume":"217","author":"V Guigues","year":"2012","unstructured":"Guigues, V., & Sagastiz\u00e1bal, C. (2012). The value of rolling-horizon policies for risk-averse hydro-thermal planning. European Journal of Operational Research, 217(1), 129\u2013140. https:\/\/doi.org\/10.1016\/j.ejor.2011.08.017","journal-title":"European Journal of Operational Research"},{"issue":"1","key":"6339_CR79","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/j.ejor.2011.08.017","volume":"217","author":"V Guigues","year":"2012","unstructured":"Guigues, V., & Sagastiz\u00e1bal, C. (2012). The value of rolling-horizon policies for risk-averse hydro-thermal planning. European Journal of Operational Research, 217(1), 129\u2013140. https:\/\/doi.org\/10.1016\/j.ejor.2011.08.017","journal-title":"European Journal of Operational Research"},{"issue":"1","key":"6339_CR80","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/0305215X.2012.737786","volume":"46","author":"P Guo","year":"2014","unstructured":"Guo, P., Chen, X., Tong, L., Li, J., & Li, M. (2014). An optimization model for a crop deficit irrigation system under uncertainty. Engineering Optimization, 46(1), 1\u201314. https:\/\/doi.org\/10.1080\/0305215X.2012.737786","journal-title":"Engineering Optimization"},{"issue":"3","key":"6339_CR81","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1080\/1448837x.2004.11464107","volume":"1","author":"T Halliburton","year":"2004","unstructured":"Halliburton, T. (2004). An optimal hydrothermal planning model for the New Zealand power system. Australian Journal of Electrical and Electronics Engineering, 1(3), 193\u2013198. https:\/\/doi.org\/10.1080\/1448837x.2004.11464107","journal-title":"Australian Journal of Electrical and Electronics Engineering"},{"key":"6339_CR82","doi-asserted-by":"crossref","unstructured":"Han, Y., Huang, G., & Li, C. (2008). An interval-parameter multi-stage stochastic chance-constrained mixed integer programming model for inter-basin water resources management systems under uncertainty. (Vol.\u00a05, pp. 146\u2013153).","DOI":"10.1109\/FSKD.2008.465"},{"issue":"2","key":"6339_CR83","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1049\/iet-gtd.2017.0903","volume":"12","author":"A Helseth","year":"2018","unstructured":"Helseth, A., Mo, B., Henden, A., & Warland, G. (2018). Detailed long-term hydro-thermal scheduling for expansion planning in the Nordic power system. IET Generation, Transmission and Distribution, 12(2), 441\u2013447. https:\/\/doi.org\/10.1049\/iet-gtd.2017.0903","journal-title":"IET Generation, Transmission and Distribution"},{"issue":"4","key":"6339_CR84","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1007\/s12667-010-0020-7","volume":"1","author":"A Helseth","year":"2010","unstructured":"Helseth, A., Mo, B., & Warland, G. (2010). Long-term scheduling of hydro-thermal power systems using scenario fans. Energy Systems, 1(4), 377\u2013391. https:\/\/doi.org\/10.1007\/s12667-010-0020-7","journal-title":"Energy Systems"},{"key":"6339_CR85","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1016\/j.epsr.2012.06.006","volume":"92","author":"V Hinojosa","year":"2012","unstructured":"Hinojosa, V., & Leyton, C. (2012). Short-term hydrothermal generation scheduling solved with a mixed-binary evolutionary particle swarm optimizer. Electric Power Systems Research, 92, 162\u2013170. https:\/\/doi.org\/10.1016\/j.epsr.2012.06.006","journal-title":"Electric Power Systems Research"},{"issue":"1","key":"6339_CR86","doi-asserted-by":"publisher","first-page":"481","DOI":"10.1109\/TSTE.2018.2805164","volume":"10","author":"MN Hjelmeland","year":"2019","unstructured":"Hjelmeland, M. N., Zou, J., Helseth, A., & Ahmed, S. (2019). Nonconvex medium-term hydropower scheduling by stochastic dual dynamic integer programming. IEEE Transactions on Sustainable Energy, 10(1), 481\u2013490. https:\/\/doi.org\/10.1109\/TSTE.2018.2805164","journal-title":"IEEE Transactions on Sustainable Energy"},{"issue":"1","key":"6339_CR87","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s12667-011-0024-y","volume":"2","author":"T Homem-De-Mello","year":"2011","unstructured":"Homem-De-Mello, T., De Matos, V., & Finardi, E. (2011). Sampling strategies and stopping criteria for stochastic dual dynamic programming: A case study in long-term hydrothermal scheduling. Energy Systems, 2(1), 1\u201331. https:\/\/doi.org\/10.1007\/s12667-011-0024-y","journal-title":"Energy Systems"},{"key":"6339_CR88","doi-asserted-by":"publisher","unstructured":"Hossain, S.M., & Shiblee, M.S.A.A.F. (2017). A short review study on problems during hydro-thermal optimal scheduling. International Journal of Advanced Technology and Engineering Exploration, 4, 2394-5443, https:\/\/doi.org\/10.19101\/IJATEE.2017.434002","DOI":"10.19101\/IJATEE.2017.434002"},{"issue":"2","key":"6339_CR89","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1080\/02630250008970277","volume":"17","author":"G Huang","year":"2000","unstructured":"Huang, G., & Loucks, D. (2000). An inexact two-stage stochastic programming model for water resources management under uncertainty. Civil Engineering and Environmental Systems, 17(2), 95\u2013118. https:\/\/doi.org\/10.1080\/02630250008970277","journal-title":"Civil Engineering and Environmental Systems"},{"key":"6339_CR90","unstructured":"Huang, J., Zhou, K., & Guan, Y. (2017). A study of distributionally robust multistage stochastic optimization."},{"issue":"1","key":"6339_CR91","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1007\/s00477-012-0585-x","volume":"27","author":"Y Huang","year":"2013","unstructured":"Huang, Y., Li, Y., Chen, X., Bao, A., & Ma, Y. (2013). A multistage simulation-based optimization model for water resources management in Tarim River Basin, China. Stochastic Environmental Research and Risk Assessment, 27(1), 147\u2013158. https:\/\/doi.org\/10.1007\/s00477-012-0585-x","journal-title":"Stochastic Environmental Research and Risk Assessment"},{"key":"6339_CR92","unstructured":"IHA (2022). Hydropower Status Report 2022. Available:[SPACE]https:\/\/www.hydropower.org\/publications\/2022-hydropower-status-report (techreport). International Hydropower Association."},{"issue":"3","key":"6339_CR93","doi-asserted-by":"publisher","first-page":"1511","DOI":"10.1109\/59.466495","volume":"10","author":"J Jacobs","year":"1995","unstructured":"Jacobs, J. (1995). Approximating expected marginal production cost with capacity commitment requirements. IEEE Transactions on Power Systems, 10(3), 1511\u20131517. https:\/\/doi.org\/10.1109\/59.466495","journal-title":"IEEE Transactions on Power Systems"},{"issue":"1","key":"6339_CR94","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1007\/BF02031745","volume":"59","author":"J Jacobs","year":"1995","unstructured":"Jacobs, J., Freeman, G., Grygier, J., Morton, D., Schultz, G., Staschus, K., & Stedinger, J. (1995). Socrates: A system for scheduling hydroelectric generation under uncertainty. Annals of Operations Research, 59(1), 99\u2013133. https:\/\/doi.org\/10.1007\/BF02031745","journal-title":"Annals of Operations Research"},{"key":"6339_CR95","doi-asserted-by":"publisher","DOI":"10.3390\/en11061389","author":"N Jovanovic","year":"2018","unstructured":"Jovanovic, N., Garc\u00eda-Gonz\u00e1lez, J., Cerisola, S., & Barqu\u00edn, J. (2018). Impact of risk aversion on the operation of hydroelectric reservoirs in the presence of renewable energy sources. Energies. https:\/\/doi.org\/10.3390\/en11061389","journal-title":"Energies"},{"issue":"3","key":"6339_CR96","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1029\/WR026i003p00447","volume":"26","author":"J Kelman","year":"1990","unstructured":"Kelman, J., Stedinger, J. R., Cooper, L. A., Hsu, E., & Yuan, S.-Q. (1990). Sampling stochastic dynamic programming applied to reservoir operation. Water Resources Research, 26(3), 447\u2013454. https:\/\/doi.org\/10.1029\/WR026i003p00447","journal-title":"Water Resources Research"},{"issue":"3","key":"6339_CR97","doi-asserted-by":"publisher","first-page":"1107","DOI":"10.1007\/s11053-018-9440-1","volume":"28","author":"T Khosrojerdi","year":"2019","unstructured":"Khosrojerdi, T., Moosavirad, S., Ariafar, S., & Ghaeini-Hessaroeyeh, M. (2019). Optimal allocation of water resources using a two-stage stochastic programming method with interval and fuzzy parameters. Natural Resources Research, 28(3), 1107\u20131124. https:\/\/doi.org\/10.1007\/s11053-018-9440-1","journal-title":"Natural Resources Research"},{"issue":"1","key":"6339_CR98","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1186\/s40517-014-0019-8","volume":"2","author":"Y Kong","year":"2014","unstructured":"Kong, Y., Pang, Z., Shao, H., Hu, S., & Kolditz, O. (2014). Recent studies on hydrothermal systems in China: A review. Geothermal Energy, 2(1), 19.","journal-title":"Geothermal Energy"},{"issue":"2","key":"6339_CR99","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1061\/(ASCE)0733-9496(2004)130:2(93)","volume":"130","author":"JW Labadie","year":"2004","unstructured":"Labadie, J. W. (2004). Optimal operation of multireservoir systems: State-of-the-art review. Journal of Water Resources Planning and Management, 130(2), 93\u2013111. https:\/\/doi.org\/10.1061\/(ASCE)0733-9496(2004)130:2(93)","journal-title":"Journal of Water Resources Planning and Management"},{"issue":"1","key":"6339_CR100","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1080\/03155986.2003.11732668","volume":"41","author":"B Lamond","year":"2003","unstructured":"Lamond, B. (2003). Stochastic optimization of a hydroelectric reservoir using piecewise polynomial approximations. INFOR, 41(1), 51\u201369. https:\/\/doi.org\/10.1080\/03155986.2003.11732668","journal-title":"INFOR"},{"issue":"3\u20134","key":"6339_CR101","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1111\/j.1475-3995.1996.tb00049.x","volume":"3","author":"B Lamond","year":"1996","unstructured":"Lamond, B., & Boukhtouta, A. (1996). Optimizing long-term hydro-power production using markov decision processes. International Transactions in Operational Research, 3(3\u20134), 223\u2013241. https:\/\/doi.org\/10.1111\/j.1475-3995.1996.tb00049.x","journal-title":"International Transactions in Operational Research"},{"issue":"1","key":"6339_CR102","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1007\/s12667-016-0191-y","volume":"8","author":"P Larroyd","year":"2017","unstructured":"Larroyd, P., de Matos, V., & Finardi, E. (2017). Assessment of risk-averse policies for the long-term hydrothermal scheduling problem. Energy Systems, 8(1), 103\u2013125. https:\/\/doi.org\/10.1007\/s12667-016-0191-y","journal-title":"Energy Systems"},{"key":"6339_CR103","doi-asserted-by":"publisher","first-page":"930","DOI":"10.1016\/j.ecolind.2018.07.029","volume":"95","author":"C Li","year":"2018","unstructured":"Li, C., Cai, Y., & Qian, J. (2018). A multi-stage fuzzy stochastic programming method for water resources management with the consideration of ecological water demand. Ecological Indicators, 95, 930\u2013938. https:\/\/doi.org\/10.1016\/j.ecolind.2018.07.029","journal-title":"Ecological Indicators"},{"issue":"10","key":"6339_CR104","doi-asserted-by":"publisher","first-page":"1361","DOI":"10.1089\/ees.2006.0216","volume":"24","author":"Y Li","year":"2007","unstructured":"Li, Y., & Huang, G. (2007). Inexact multistage stochastic quadratic programming method for planning water resources systems under uncertainty. Environmental Engineering Science, 24(10), 1361\u20131377. https:\/\/doi.org\/10.1089\/ees.2006.0216","journal-title":"Environmental Engineering Science"},{"issue":"24","key":"6339_CR105","doi-asserted-by":"publisher","first-page":"4261","DOI":"10.1016\/j.ins.2009.09.001","volume":"179","author":"Y Li","year":"2009","unstructured":"Li, Y., & Huang, G. (2009). Fuzzy-stochastic-based violation analysis method for planning water resources management systems with uncertain information. Information Sciences, 179(24), 4261\u20134276. https:\/\/doi.org\/10.1016\/j.ins.2009.09.001","journal-title":"Information Sciences"},{"issue":"6","key":"6339_CR106","doi-asserted-by":"publisher","first-page":"781","DOI":"10.1007\/s00477-008-0258-y","volume":"23","author":"Y Li","year":"2009","unstructured":"Li, Y., Huang, G., & Chen, X. (2009). Multistage scenario-based interval-stochastic programming for planning water resources allocation. Stochastic Environmental Research and Risk Assessment, 23(6), 781\u2013792. https:\/\/doi.org\/10.1007\/s00477-008-0258-y","journal-title":"Stochastic Environmental Research and Risk Assessment"},{"issue":"5","key":"6339_CR107","doi-asserted-by":"publisher","first-page":"776","DOI":"10.1016\/j.advwatres.2005.07.008","volume":"29","author":"Y Li","year":"2006","unstructured":"Li, Y., Huang, G., & Nie, S. (2006). An interval-parameter multi-stage stochastic programming model for water resources management under uncertainty. Advances in Water Resources, 29(5), 776\u2013789. https:\/\/doi.org\/10.1016\/j.advwatres.2005.07.008","journal-title":"Advances in Water Resources"},{"issue":"12","key":"6339_CR108","doi-asserted-by":"publisher","first-page":"2515","DOI":"10.1007\/s11269-008-9394-x","volume":"23","author":"Y Li","year":"2009","unstructured":"Li, Y., Huang, G., & Nie, S. (2009). Water resources management and planning under uncertainty: An inexact multistage joint-probabilistic programming method. Water Resources Management, 23(12), 2515\u20132538. https:\/\/doi.org\/10.1007\/s11269-008-9394-x","journal-title":"Water Resources Management"},{"issue":"1","key":"6339_CR109","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/j.jenvman.2007.01.056","volume":"88","author":"Y Li","year":"2008","unstructured":"Li, Y., Huang, G., Nie, S., & Liu, L. (2008). Inexact multistage stochastic integer programming for water resources management under uncertainty. Journal of Environmental Management, 88(1), 93\u2013107. https:\/\/doi.org\/10.1016\/j.jenvman.2007.01.056","journal-title":"Journal of Environmental Management"},{"issue":"5","key":"6339_CR110","doi-asserted-by":"publisher","first-page":"800","DOI":"10.1016\/j.resconrec.2007.11.007","volume":"52","author":"Y Li","year":"2008","unstructured":"Li, Y., Huang, G., Yang, Z., & Nie, S. (2008). Ifmp: Interval-fuzzy multistage programming for water resources management under uncertainty. Resources, Conservation and Recycling, 52(5), 800\u2013812. https:\/\/doi.org\/10.1016\/j.resconrec.2007.11.007","journal-title":"Resources, Conservation and Recycling"},{"issue":"4","key":"6339_CR111","doi-asserted-by":"publisher","first-page":"4336","DOI":"10.1109\/TPWRS.2013.2274559","volume":"28","author":"R Lima","year":"2013","unstructured":"Lima, R., Marcovecchio, M., Novais, A., & Grossmann, I. (2013). On the computational studies of deterministic global optimization of head dependent short-term hydro scheduling. IEEE Transactions on Power Systems, 28(4), 4336\u20134347. https:\/\/doi.org\/10.1109\/TPWRS.2013.2274559","journal-title":"IEEE Transactions on Power Systems"},{"issue":"3","key":"6339_CR112","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/AIEEPAS.1962.4501248","volume":"81","author":"J Lindqvist","year":"1962","unstructured":"Lindqvist, J. (1962). Operation of a hydrothermal electric system: A multistage decision process. Transactions of the American Institute of Electrical Engineers. Part III: Power Apparatus and Systems, 81(3), 1\u20136. https:\/\/doi.org\/10.1109\/AIEEPAS.1962.4501248","journal-title":"Transactions of the American Institute of Electrical Engineers. Part III: Power Apparatus and Systems"},{"issue":"2","key":"6339_CR113","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1287\/opre.3.2.187","volume":"3","author":"JDC Little","year":"1955","unstructured":"Little, J. D. C. (1955). The use of storage water in a hydroelectric system. Journal of the Operations Research Society of America, 3(2), 187\u2013197. https:\/\/doi.org\/10.1287\/opre.3.2.187","journal-title":"Journal of the Operations Research Society of America"},{"issue":"3","key":"6339_CR114","doi-asserted-by":"publisher","first-page":"945","DOI":"10.1007\/s00477-015-1143-0","volume":"30","author":"X Liu","year":"2016","unstructured":"Liu, X., Huang, G., Wang, S., & Fan, Y. (2016). Water resources management under uncertainty: Factorial multi-stage stochastic program with chance constraints. Stochastic Environmental Research and Risk Assessment, 30(3), 945\u2013957. https:\/\/doi.org\/10.1007\/s00477-015-1143-0","journal-title":"Stochastic Environmental Research and Risk Assessment"},{"issue":"1","key":"6339_CR115","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/j.ejor.2016.05.011","volume":"255","author":"T Lohmann","year":"2016","unstructured":"Lohmann, T., Hering, A., & Rebennack, S. (2016). Spatio-temporal hydro forecasting of multireservoir inflows for hydro-thermal scheduling. European Journal of Operational Research, 255(1), 243\u2013258. https:\/\/doi.org\/10.1016\/j.ejor.2016.05.011","journal-title":"European Journal of Operational Research"},{"issue":"3","key":"6339_CR116","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1007\/s40518-020-00152-6","volume":"7","author":"A Lorca","year":"2020","unstructured":"Lorca, A., Favereau, M., & Olivares, D. (2020). Challenges in the management of hydroelectric generation in power system operations. Current Sustainable\/Renewable Energy Reports, 7(3), 94\u201399. https:\/\/doi.org\/10.1007\/s40518-020-00152-6","journal-title":"Current Sustainable\/Renewable Energy Reports"},{"key":"6339_CR117","doi-asserted-by":"crossref","unstructured":"Lorey, L., Iha, F., Da\u00a0Silva\u00a0Chaves, I., De\u00a0Castro, C., Dias, B., & Marcato, A. (2017). Optimized seasonalization of assured energy in the brazilian power system.","DOI":"10.1109\/PTC.2017.7980957"},{"key":"6339_CR118","doi-asserted-by":"crossref","unstructured":"Lorey, L., Iha, F., Hoffmann, L., Pereira, I., Da\u00a0Silva, I., Dias, B., & Marcato, A. (2015). Stochastic optimization applied to brazilian hydroelectric seasonalization of assured energy.","DOI":"10.1109\/PTC.2015.7232568"},{"issue":"1","key":"6339_CR119","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1016\/j.jenvman.2009.08.011","volume":"91","author":"H Lu","year":"2009","unstructured":"Lu, H., Huang, G., & He, L. (2009). Inexact rough-interval two-stage stochastic programming for conjunctive water allocation problems. Journal of Environmental Management, 91(1), 261\u2013269. https:\/\/doi.org\/10.1016\/j.jenvman.2009.08.011","journal-title":"Journal of Environmental Management"},{"issue":"8","key":"6339_CR120","doi-asserted-by":"publisher","first-page":"991","DOI":"10.1007\/s11269-007-9206-8","volume":"22","author":"H Lu","year":"2008","unstructured":"Lu, H., Huang, G., Zeng, G., Maqsood, I., & He, L. (2008). An inexact two-stage fuzzy-stochastic programming model for water resources management. Water Resources Management, 22(8), 991\u20131016. https:\/\/doi.org\/10.1007\/s11269-007-9206-8","journal-title":"Water Resources Management"},{"key":"6339_CR121","unstructured":"Maceira, M., Duarte, V., Penna, D., Moraes, L., & Melo, A. (2008). Ten years of application of stochastic dual dynamic programming in official and agent studies in brazil - description of the newave program."},{"key":"6339_CR122","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1016\/j.ijepes.2015.02.025","volume":"72","author":"M Maceira","year":"2015","unstructured":"Maceira, M., Marzano, L., Penna, D., Diniz, A., & Justino, T. (2015). Application of cvar risk aversion approach in the expansion and operation planning and for setting the spot price in the brazilian hydrothermal interconnected system. International Journal of Electrical Power and Energy Systems, 72, 126\u2013135. https:\/\/doi.org\/10.1016\/j.ijepes.2015.02.025","journal-title":"International Journal of Electrical Power and Energy Systems"},{"key":"6339_CR123","doi-asserted-by":"publisher","DOI":"10.1002\/WAT2.1400","author":"H Macian-Sorribes","year":"2020","unstructured":"Macian-Sorribes, H., & Pulido-Velazquez, M. (2020). Inferring efficient operating rules in multireservoir water resource systems: A review. Wiley Interdisciplinary Reviews: Water.[SPACE]https:\/\/doi.org\/10.1002\/WAT2.1400","journal-title":"Wiley Interdisciplinary Reviews: Water."},{"key":"6339_CR124","doi-asserted-by":"publisher","first-page":"644","DOI":"10.1016\/j.ijepes.2018.06.008","volume":"103","author":"B Maluenda","year":"2018","unstructured":"Maluenda, B., Negrete-Pincetic, M., Olivares, D., & Lorca, A. (2018). Expansion planning under uncertainty for hydrothermal systems with variable resources. International Journal of Electrical Power and Energy Systems, 103, 644\u2013651. https:\/\/doi.org\/10.1016\/j.ijepes.2018.06.008","journal-title":"International Journal of Electrical Power and Energy Systems"},{"issue":"1","key":"6339_CR125","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1016\/j.ejor.2003.08.068","volume":"167","author":"I Maqsood","year":"2005","unstructured":"Maqsood, I., Huang, G., & Yeomans, J. (2005). An interval-parameter fuzzy two-stage stochastic program for water resources management under uncertainty. European Journal of Operational Research, 167(1), 208\u2013225. https:\/\/doi.org\/10.1016\/j.ejor.2003.08.068","journal-title":"European Journal of Operational Research"},{"issue":"4","key":"6339_CR126","doi-asserted-by":"publisher","first-page":"1623","DOI":"10.1109\/TPWRS.2013.2296439","volume":"29","author":"L Martins","year":"2014","unstructured":"Martins, L., Azevedo, A., & Soares, S. (2014). Nonlinear medium-term hydro-thermal scheduling with transmission constraints. IEEE Transactions on Power Systems, 29(4), 1623\u20131633. https:\/\/doi.org\/10.1109\/TPWRS.2013.2296439","journal-title":"IEEE Transactions on Power Systems"},{"key":"6339_CR127","doi-asserted-by":"crossref","unstructured":"Martins, L., & Hochstetler, R. (2019). Financial storage rights for hydroelectricity.","DOI":"10.1109\/SEST.2019.8849009"},{"key":"6339_CR128","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.scitotenv.2018.11.036","volume":"654","author":"G Martinsen","year":"2019","unstructured":"Martinsen, G., Liu, S., Mo, X., & Bauer-Gottwein, P. (2019). Joint optimization of water allocation and water quality management in Haihe River Basin. Science of the Total Environment, 654, 72\u201384. https:\/\/doi.org\/10.1016\/j.scitotenv.2018.11.036","journal-title":"Science of the Total Environment"},{"key":"6339_CR129","doi-asserted-by":"crossref","unstructured":"Mejia-Giraldo, D., Villarreal-Marimon, J., & Lopez-Mejia, H. (2014). Adjustable robust long-term energy planning under hydrological uncertainty. (Vol. 2014-October).","DOI":"10.1109\/PESGM.2014.6939834"},{"issue":"2 B","key":"6339_CR130","first-page":"201","volume":"28","author":"M Modarres","year":"2004","unstructured":"Modarres, M., Ghasemi, F., & Farrokhzad, D. (2004). Solving the long-term hydro-thermal coordination problem with a special genetic algorithm. Iranian Journal of Science and Technology, Transaction B: Engineering, 28(2 B), 201\u2013216.","journal-title":"Iranian Journal of Science and Technology, Transaction B: Engineering"},{"key":"6339_CR131","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2023.122554","volume":"358","author":"A Navarro","year":"2024","unstructured":"Navarro, A., Favereau, M., Lorca, \u00c1lvaro., Olivares, D., & Negrete-Pincetic, M. (2024). Medium-term stochastic hydrothermal scheduling with short-term operational effects for large-scale power and water networks. Applied Energy, 358, 122554.","journal-title":"Applied Energy"},{"issue":"3","key":"6339_CR132","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1007\/s40565-017-0282-3","volume":"5","author":"D Ojeda-Esteybar","year":"2017","unstructured":"Ojeda-Esteybar, D., Rubio-Barros, R., & Vargas, A. (2017). Integrated operational planning of hydrothermal power and natural gas systems with large scale storages. Journal of Modern Power Systems and Clean Energy, 5(3), 299\u2013313. https:\/\/doi.org\/10.1007\/s40565-017-0282-3","journal-title":"Journal of Modern Power Systems and Clean Energy"},{"issue":"5","key":"6339_CR133","doi-asserted-by":"publisher","first-page":"3664","DOI":"10.1002\/2014WR016215","volume":"51","author":"M Olivares","year":"2015","unstructured":"Olivares, M., Haas, J., Palma-Behnke, R., & Benavides, C. (2015). A framework to identify pareto-efficient subdaily environmental flow constraints on hydropower reservoirs using a grid-wide power dispatch model. Water Resources Research, 51(5), 3664\u20133680. https:\/\/doi.org\/10.1002\/2014WR016215","journal-title":"Water Resources Research"},{"key":"6339_CR134","doi-asserted-by":"crossref","unstructured":"Ourani, K., Baslis, C., & Bakirtzis, A. (2012). A stochastic dual dynamic programming model for medium-term hydrothermal scheduling in greece.","DOI":"10.1109\/UPEC.2012.6398566"},{"key":"6339_CR135","doi-asserted-by":"crossref","unstructured":"Paredes, M., & Martins, L. (2018). Inexactness of the hydro-thermal coordination semidefinite relaxation. (Vol. 2018-August).","DOI":"10.1109\/PESGM.2018.8585848"},{"key":"6339_CR136","doi-asserted-by":"crossref","unstructured":"Perea, A., Latorre, J., Ramos, A., Cerisola, S., Bellido, R., & L\u00f3pez, E. (2010). Simulation application to hydropower systems management and design in a market environment.","DOI":"10.1109\/EEM.2010.5558779"},{"issue":"1\u20133","key":"6339_CR137","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1007\/BF01582895","volume":"52","author":"M Pereira","year":"1991","unstructured":"Pereira, M., & Pinto, L. (1991). Multi-stage stochastic optimization applied to energy planning. Mathematical Programming, 52(1\u20133), 359\u2013375. https:\/\/doi.org\/10.1007\/BF01582895","journal-title":"Mathematical Programming"},{"key":"6339_CR138","doi-asserted-by":"crossref","unstructured":"Pereira-Bonvallet, E., P\u00fcschel-L\u00f8vengreen, S., Matus, M., & Moreno, R. (2016). Optimizing hydrothermal scheduling with non-convex irrigation constraints: Case on the chilean electricity system. (Vol.\u00a087, pp. 132\u2013140).","DOI":"10.1016\/j.egypro.2015.12.342"},{"issue":"3\u20134","key":"6339_CR139","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1007\/s10584-014-1221-1","volume":"126","author":"S Pereira-Cardenal","year":"2014","unstructured":"Pereira-Cardenal, S., Madsen, H., Arnbjerg-Nielsen, K., Riegels, N., Jensen, R., Mo, B., & Bauer-Gottwein, P. (2014). Assessing climate change impacts on the iberian power system using a coupled water-power model. Climatic Change, 126(3\u20134), 351\u2013364. https:\/\/doi.org\/10.1007\/s10584-014-1221-1","journal-title":"Climatic Change"},{"issue":"2","key":"6339_CR140","doi-asserted-by":"publisher","first-page":"470","DOI":"10.1016\/j.ejor.2011.10.056","volume":"218","author":"A Philpott","year":"2012","unstructured":"Philpott, A., & De Matos, V. (2012). Dynamic sampling algorithms for multi-stage stochastic programs with risk aversion. European Journal of Operational Research, 218(2), 470\u2013483. https:\/\/doi.org\/10.1016\/j.ejor.2011.10.056","journal-title":"European Journal of Operational Research"},{"key":"6339_CR141","doi-asserted-by":"crossref","unstructured":"Powell, W. (2011). Approximate dynamic programming: Solving the curses of dimensionality.","DOI":"10.1002\/9781118029176"},{"issue":"2","key":"6339_CR142","doi-asserted-by":"publisher","first-page":"496","DOI":"10.1016\/j.ejor.2015.05.022","volume":"246","author":"G Pritchard","year":"2015","unstructured":"Pritchard, G. (2015). Stochastic inflow modeling for hydropower scheduling problems. European Journal of Operational Research, 246(2), 496\u2013504. https:\/\/doi.org\/10.1016\/j.ejor.2015.05.022","journal-title":"European Journal of Operational Research"},{"key":"6339_CR143","doi-asserted-by":"publisher","DOI":"10.1002\/9780470316887","volume-title":"Markov decision processes: Discrete stochastic dynamic programming","author":"ML Puterman","year":"1994","unstructured":"Puterman, M. L. (1994). Markov decision processes: Discrete stochastic dynamic programming (1st ed.). Wiley.","edition":"1"},{"issue":"1","key":"6339_CR144","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1007\/s10107-017-1224-6","volume":"173","author":"H Rahimian","year":"2019","unstructured":"Rahimian, H., Bayraksan, G., & Homem-de-Mello, T. (2019). Identifying effective scenarios in distributionally robust stochastic programs with total variation distance. Mathematical Programming, 173(1), 393\u2013430. https:\/\/doi.org\/10.1007\/s10107-017-1224-6","journal-title":"Mathematical Programming"},{"key":"6339_CR145","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1007\/978-1-4419-9586-5_7","volume":"163","author":"A Ramos","year":"2011","unstructured":"Ramos, A., Cerisola, S., Latorre, J., Bellido, R., Perea, A., & Lopez, E. (2011). A decision support model for weekly operation of hydrothermal systems by stochastic nonlinear optimization. International Series in Operations Research and Management Science, 163, 143\u2013161. https:\/\/doi.org\/10.1007\/978-1-4419-9586-5_7","journal-title":"International Series in Operations Research and Management Science"},{"key":"6339_CR146","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)WR.1943-5452.0001040","author":"L Raso","year":"2019","unstructured":"Raso, L., Chiavico, M., & Dorchies, D. (2019). Optimal and centralized reservoir management for drought and flood protection on the upper seine-aube river system using stochastic dual dynamic programming. Journal of Water Resources Planning and Management. https:\/\/doi.org\/10.1061\/(ASCE)WR.1943-5452.0001040","journal-title":"Journal of Water Resources Planning and Management"},{"key":"6339_CR147","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)IR.1943-4774.0001063","author":"L Raso","year":"2017","unstructured":"Raso, L., & Malaterre, P. (2017). Combining short-term and long-term reservoir operation using infinite horizon model predictive control. Journal of Irrigation and Drainage Engineering. https:\/\/doi.org\/10.1061\/(ASCE)IR.1943-4774.0001063","journal-title":"Journal of Irrigation and Drainage Engineering"},{"key":"6339_CR148","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)WR.1943-5452.0000746","author":"L Raso","year":"2017","unstructured":"Raso, L., Malaterre, P.-O., & Bader, J.-C. (2017). Effective streamflow process modeling for optimal reservoir operation using stochastic dual dynamic programming. Journal of Water Resources Planning and Management. https:\/\/doi.org\/10.1061\/(ASCE)WR.1943-5452.0000746","journal-title":"Journal of Water Resources Planning and Management"},{"key":"6339_CR149","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1016\/j.advwatres.2014.06.009","volume":"71","author":"L Raso","year":"2014","unstructured":"Raso, L., Schwanenberg, D., van de Giesen, N., & van Overloop, P. (2014). Short-term optimal operation of water systems using ensemble forecasts. Advances in Water Resources, 71, 200\u2013208. https:\/\/doi.org\/10.1016\/j.advwatres.2014.06.009","journal-title":"Advances in Water Resources"},{"key":"6339_CR150","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1016\/j.epsr.2014.04.010","volume":"114","author":"S Rebennack","year":"2014","unstructured":"Rebennack, S. (2014). Generation expansion planning under uncertainty with emissions quotas. Electric Power Systems Research, 114, 78\u201385. https:\/\/doi.org\/10.1016\/j.epsr.2014.04.010","journal-title":"Electric Power Systems Research"},{"issue":"1\u20132","key":"6339_CR151","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1007\/s10107-015-0884-3","volume":"156","author":"S Rebennack","year":"2016","unstructured":"Rebennack, S. (2016). Combining sampling-based and scenario-based nested benders decomposition methods: Application to stochastic dual dynamic programming. Mathematical Programming, 156(1\u20132), 343\u2013389. https:\/\/doi.org\/10.1007\/s10107-015-0884-3","journal-title":"Mathematical Programming"},{"issue":"1","key":"6339_CR152","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1109\/TPWRS.2011.2140342","volume":"27","author":"S Rebennack","year":"2012","unstructured":"Rebennack, S., Flach, B., Pereira, M., & Pardalos, P. (2012). Stochastic hydro-thermal scheduling under co2 emissions constraints. IEEE Transactions on Power Systems, 27(1), 58\u201368. https:\/\/doi.org\/10.1109\/TPWRS.2011.2140342","journal-title":"IEEE Transactions on Power Systems"},{"key":"6339_CR153","volume-title":"Introduction to stochastic dynamic programming: Probability and mathematical","author":"SM Ross","year":"1983","unstructured":"Ross, S. M. (1983). Introduction to stochastic dynamic programming: Probability and mathematical. Academic Press Inc."},{"issue":"5","key":"6339_CR154","doi-asserted-by":"publisher","first-page":"2035","DOI":"10.1007\/s12205-017-1689-0","volume":"22","author":"M Saadat","year":"2018","unstructured":"Saadat, M., & Asghari, K. (2018). A cooperative use of stochastic dynamic programming and non-linear programming for optimization of reservoir operation. KSCE Journal of Civil Engineering, 22(5), 2035\u20132042. https:\/\/doi.org\/10.1007\/s12205-017-1689-0","journal-title":"KSCE Journal of Civil Engineering"},{"key":"6339_CR155","doi-asserted-by":"crossref","unstructured":"Santos, T., & Diniz, A. (2009). Feasibility and optimality cuts for the multi-stage benders decomposition approach: Application to the network constrained hydrothermal scheduling.","DOI":"10.1109\/PES.2009.5275442"},{"key":"6339_CR156","doi-asserted-by":"crossref","unstructured":"Scianni, L., Queiroz, A., Lima, L., & Lima, J. (2013). The influence of climate change on hydro generation in Brazil.","DOI":"10.1109\/PTC.2013.6652402"},{"issue":"3\u20134","key":"6339_CR157","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1111\/j.1475-3995.1996.tb00050.x","volume":"3","author":"T Scott","year":"1996","unstructured":"Scott, T., & Read, E. (1996). Modelling hydro reservoir operation in a deregulated electricity market. International Transactions in Operational Research, 3(3\u20134), 243\u2013253. https:\/\/doi.org\/10.1111\/j.1475-3995.1996.tb00050.x","journal-title":"International Transactions in Operational Research"},{"issue":"1","key":"6339_CR158","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.ejor.2010.08.007","volume":"209","author":"A Shapiro","year":"2011","unstructured":"Shapiro, A. (2011). Analysis of stochastic dual dynamic programming method. European Journal of Operational Research, 209(1), 63\u201372. https:\/\/doi.org\/10.1016\/j.ejor.2010.08.007","journal-title":"European Journal of Operational Research"},{"key":"6339_CR159","doi-asserted-by":"crossref","unstructured":"Shapiro, A., Dentcheva, D., & Ruszczy\u0144ski, A. (2009). Lectures on stochastic programming. Society for Industrial and Applied Mathematics.","DOI":"10.1137\/1.9780898718751"},{"issue":"2","key":"6339_CR160","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1016\/j.ejor.2012.08.022","volume":"224","author":"A Shapiro","year":"2013","unstructured":"Shapiro, A., Tekaya, W., da Costa, J. P., & Soares, M. P. (2013). Risk neutral and risk averse stochastic dual dynamic programming method. European Journal of Operational Research, 224(2), 375\u2013391. https:\/\/doi.org\/10.1016\/j.ejor.2012.08.022","journal-title":"European Journal of Operational Research"},{"key":"6339_CR161","unstructured":"Siddig, M., Song, Y., & Khademi, A. (2021). Maximum-posterior evaluation for partially observable multistage stochastic programming. (pp. 878\u2013883)."},{"key":"6339_CR162","doi-asserted-by":"publisher","first-page":"988","DOI":"10.1016\/j.solener.2017.09.021","volume":"157","author":"R Singh","year":"2017","unstructured":"Singh, R., & Banerjee, R. (2017). Impact of large-scale rooftop solar pv integration: An algorithm for hydrothermal-solar scheduling (htss). Solar Energy, 157, 988\u20131004. https:\/\/doi.org\/10.1016\/j.solener.2017.09.021","journal-title":"Solar Energy"},{"issue":"6","key":"6339_CR163","doi-asserted-by":"publisher","first-page":"1574","DOI":"10.1029\/WR015i006p01574","volume":"15","author":"M Sniedovich","year":"1979","unstructured":"Sniedovich, M. (1979). Reliability-constrained reservoir control problems: 1. methodological issues. Water Resources Research, 15(6), 1574\u20131582. https:\/\/doi.org\/10.1029\/WR015i006p01574","journal-title":"Water Resources Research"},{"key":"6339_CR164","doi-asserted-by":"crossref","unstructured":"Soares, M., Street, A., & Valladao, D. (2014). On the solution variability reduction of stochastic dual dynamic programming applied to energy planning. (Vol. 2014-October).","DOI":"10.1109\/PESGM.2014.6939356"},{"issue":"5","key":"6339_CR165","doi-asserted-by":"publisher","first-page":"1154","DOI":"10.1287\/opre.21.5.1154","volume":"21","author":"AL Soyster","year":"1973","unstructured":"Soyster, A. L. (1973). Convex programming with set-inclusive constraints and applications to inexact linear programming. Operations Research, 21(5), 1154\u20131157.","journal-title":"Operations Research"},{"issue":"11","key":"6339_CR166","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.1029\/WR020i011p01499","volume":"20","author":"JR Stedinger","year":"1984","unstructured":"Stedinger, J. R., Sule, B. F., & Loucks, D. P. (1984). Stochastic dynamic programming models for reservoir operation optimization. Water Resources Research, 20(11), 1499\u20131505. https:\/\/doi.org\/10.1029\/WR020i011p01499","journal-title":"Water Resources Research"},{"issue":"11","key":"6339_CR167","doi-asserted-by":"publisher","first-page":"929","DOI":"10.1080\/24725854.2018.1461963","volume":"50","author":"G Steeger","year":"2018","unstructured":"Steeger, G., Lohmann, T., & Rebennack, S. (2018). Strategic bidding for a price-maker hydroelectric producer: Stochastic dual dynamic programming and lagrangian relaxation. IISE Transactions, 50(11), 929\u2013942. https:\/\/doi.org\/10.1080\/24725854.2018.1461963","journal-title":"IISE Transactions"},{"issue":"6","key":"6339_CR168","doi-asserted-by":"publisher","first-page":"4914","DOI":"10.1109\/TPWRS.2017.2672555","volume":"32","author":"A Street","year":"2017","unstructured":"Street, A., Brigatto, A., & Vallad\u00e3o, D. (2017). Co-optimization of energy and ancillary services for hydrothermal operation planning under a general security criterion. IEEE Transactions on Power Systems, 32(6), 4914\u20134923. https:\/\/doi.org\/10.1109\/TPWRS.2017.2672555","journal-title":"IEEE Transactions on Power Systems"},{"key":"6339_CR169","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2020.115939","author":"A Street","year":"2020","unstructured":"Street, A., Vallad\u00e3o, D., Lawson, A., & Velloso, A. (2020). Assessing the cost of the hazard-decision simplification in multistage stochastic hydrothermal scheduling. Applied Energy. https:\/\/doi.org\/10.1016\/j.apenergy.2020.115939","journal-title":"Applied Energy"},{"key":"6339_CR170","doi-asserted-by":"publisher","DOI":"10.1029\/2008WR007024","author":"A Tilmant","year":"2008","unstructured":"Tilmant, A., Pinte, D., & Goor, Q. (2008). Assessing marginal water values in multipurpose multireservoir systems via stochastic programming. Water Resources Research. https:\/\/doi.org\/10.1029\/2008WR007024","journal-title":"Water Resources Research"},{"key":"6339_CR171","unstructured":"Tong, B., Zhai, Q., & Guan, X. (2013). A stochastic milp model for long-term hydrothermal scheduling considering water resource management. (pp. 2603\u20132608)."},{"key":"6339_CR172","doi-asserted-by":"crossref","unstructured":"Treistman, F., MacEira, M., Damazio, J., & Cruz, C. (2020). Periodic time series model with annual component applied to operation planning of hydrothermal systems.","DOI":"10.1109\/PMAPS47429.2020.9183472"},{"key":"6339_CR173","doi-asserted-by":"crossref","unstructured":"Tucci, C., Collischonn, W., Fan, F., & Schwanenberg, D. (2019). Hydropower forecasting in brazil.","DOI":"10.1007\/978-3-642-39925-1_55"},{"issue":"12","key":"6339_CR174","doi-asserted-by":"publisher","first-page":"3585","DOI":"10.1029\/98WR02608","volume":"34","author":"A Turgeon","year":"1998","unstructured":"Turgeon, A., & Charbonneau, R. (1998). An aggregation-disaggregation approach to long-term reservoir management. Water Resources Research, 34(12), 3585\u20133594. https:\/\/doi.org\/10.1029\/98WR02608","journal-title":"Water Resources Research"},{"issue":"2","key":"6339_CR175","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1007\/s11081-013-9236-4","volume":"15","author":"W van Ackooij","year":"2014","unstructured":"van Ackooij, W., Henrion, R., M\u00f6ller, A., & Zorgati, R. (2014). Joint chance constrained programming for hydro reservoir management. Optimization and Engineering, 15(2), 509\u2013531. https:\/\/doi.org\/10.1007\/s11081-013-9236-4","journal-title":"Optimization and Engineering"},{"issue":"2","key":"6339_CR176","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1007\/s11192-009-0146-3","volume":"84","author":"N van Eck","year":"2010","unstructured":"van Eck, N., & Waltman, L. (2010). Software survey: Vosviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523\u2013538. https:\/\/doi.org\/10.1007\/s11192-009-0146-3","journal-title":"Scientometrics"},{"key":"6339_CR177","doi-asserted-by":"publisher","DOI":"10.1029\/2009WR007838","author":"S Vicu\u00f1a","year":"2010","unstructured":"Vicu\u00f1a, S., Dracup, J. A., Lund, J. R., Dale, L. L., & Maurer, E. P. (2010). Basin-scale water system operations with uncertain future climate conditions: Methodology and case studies. Water Resources Research. https:\/\/doi.org\/10.1029\/2009WR007838","journal-title":"Water Resources Research"},{"issue":"1","key":"6339_CR178","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1007\/s10584-007-9365-x","volume":"87","author":"S Vicu\u00f1a","year":"2008","unstructured":"Vicu\u00f1a, S., Leonardson, R., Hanemann, M. W., Dale, L. L., & Dracup, J. A. (2008). Climate change impacts on high elevation hydropower generation in california\u2019s sierra nevada: A case study in the upper american river. Climatic Change, 87(1), 123\u2013137. https:\/\/doi.org\/10.1007\/s10584-007-9365-x","journal-title":"Climatic Change"},{"key":"6339_CR179","doi-asserted-by":"publisher","first-page":"781","DOI":"10.1016\/j.enconman.2014.10.048","volume":"89","author":"D Vieira","year":"2015","unstructured":"Vieira, D., Guedes, L., Lisboa, A., & Saldanha, R. (2015). Formulations for hydroelectric energy production with optimality conditions. Energy Conversion and Management, 89, 781\u2013788. https:\/\/doi.org\/10.1016\/j.enconman.2014.10.048","journal-title":"Energy Conversion and Management"},{"issue":"7","key":"6339_CR180","doi-asserted-by":"publisher","first-page":"2015","DOI":"10.1007\/s11269-012-9996-1","volume":"26","author":"S Wang","year":"2012","unstructured":"Wang, S., & Huang, G. (2012). Identifying optimal water resources allocation strategies through an interactive multi-stage stochastic fuzzy programming approach. Water Resources Management, 26(7), 2015\u20132038. https:\/\/doi.org\/10.1007\/s11269-012-9996-1","journal-title":"Water Resources Management"},{"issue":"6","key":"6339_CR181","doi-asserted-by":"publisher","first-page":"1493","DOI":"10.1007\/s00477-013-0685-2","volume":"27","author":"S Wang","year":"2013","unstructured":"Wang, S., & Huang, G. (2013). An interval-parameter two-stage stochastic fuzzy program with type-2 membership functions: An application to water resources management. Stochastic Environmental Research and Risk Assessment, 27(6), 1493\u20131506. https:\/\/doi.org\/10.1007\/s00477-013-0685-2","journal-title":"Stochastic Environmental Research and Risk Assessment"},{"key":"6339_CR182","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1016\/j.enpol.2018.03.053","volume":"118","author":"A Ware","year":"2018","unstructured":"Ware, A. (2018). Reliability-constrained hydropower valuation. Energy Policy, 118, 633\u2013641. https:\/\/doi.org\/10.1016\/j.enpol.2018.03.053","journal-title":"Energy Policy"},{"key":"6339_CR183","doi-asserted-by":"crossref","unstructured":"Warland, G., & Mo, B. (2016). Stochastic optimization model for detailed long-term hydro thermal scheduling using scenario-tree simulation. (Vol.\u00a087, pp. 165\u2013172).","DOI":"10.1016\/j.egypro.2015.12.347"},{"issue":"3","key":"6339_CR184","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1111\/j.1475-3995.2000.tb00195.x","volume":"7","author":"D Watkins","year":"2000","unstructured":"Watkins, D., McKinney, D., Lasdon, L., Nielsen, S., & Martin, Q. (2000). A scenario-based stochastic programming model for water supplies from the highland lakes. International Transactions in Operational Research, 7(3), 211\u2013230. https:\/\/doi.org\/10.1111\/j.1475-3995.2000.tb00195.x","journal-title":"International Transactions in Operational Research"},{"issue":"6","key":"6339_CR185","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1287\/inte.15.6.73","volume":"15","author":"DJ White","year":"1985","unstructured":"White, D. J. (1985). Real applications of markov decision processes. Interfaces, 15(6), 73\u201383. https:\/\/doi.org\/10.1287\/inte.15.6.73","journal-title":"Interfaces"},{"issue":"6","key":"6339_CR186","doi-asserted-by":"publisher","first-page":"1358","DOI":"10.1287\/opre.2014.1314","volume":"62","author":"W Wiesemann","year":"2014","unstructured":"Wiesemann, W., Kuhn, D., & Sim, M. (2014). Distributionally robust convex optimization. Operations Research, 62(6), 1358\u20131376. https:\/\/doi.org\/10.1287\/opre.2014.1314","journal-title":"Operations Research"},{"issue":"10","key":"6339_CR187","doi-asserted-by":"publisher","first-page":"1642","DOI":"10.1016\/j.energy.2009.07.025","volume":"34","author":"O Wolfgang","year":"2009","unstructured":"Wolfgang, O., Haugstad, A., Mo, B., Gjelsvik, A., Wangensteen, I., & Doorman, G. (2009). Hydro reservoir handling in Norway before and after deregulation. Energy, 34(10), 1642\u20131651. https:\/\/doi.org\/10.1016\/j.energy.2009.07.025","journal-title":"Energy"},{"issue":"4","key":"6339_CR188","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1029\/WR018i004p00673","volume":"18","author":"S Yakowitz","year":"1982","unstructured":"Yakowitz, S. (1982). Dynamic programming applications in water resources. Water Resources Research, 18(4), 673\u2013696. https:\/\/doi.org\/10.1029\/WR018i004p00673","journal-title":"Water Resources Research"},{"issue":"7","key":"6339_CR189","doi-asserted-by":"publisher","first-page":"2247","DOI":"10.1029\/1999WR900093","volume":"35","author":"M Yang","year":"1999","unstructured":"Yang, M., & Read, E. (1999). A constructive dual dynamic programing for a reservoir model with correlation. Water Resources Research, 35(7), 2247\u20132257. https:\/\/doi.org\/10.1029\/1999WR900093","journal-title":"Water Resources Research"},{"issue":"3","key":"6339_CR190","doi-asserted-by":"publisher","first-page":"799","DOI":"10.1016\/j.ejor.2018.08.031","volume":"277","author":"I Yanikoglu","year":"2019","unstructured":"Yanikoglu, I., Gorissen, B., & den Hertog, D. (2019). A survey of adjustable robust optimization. European Journal of Operational Research, 277(3), 799\u2013813. https:\/\/doi.org\/10.1016\/j.ejor.2018.08.031","journal-title":"European Journal of Operational Research"},{"issue":"12","key":"6339_CR191","doi-asserted-by":"publisher","first-page":"1797","DOI":"10.1029\/WR021i012p01797","volume":"21","author":"WW-G Yeh","year":"1985","unstructured":"Yeh, W.W.-G. (1985). Reservoir management and operations models: A state-of-the-art review. Water Resources Research, 21(12), 1797\u20131818. https:\/\/doi.org\/10.1029\/WR021i012p01797","journal-title":"Water Resources Research"},{"key":"6339_CR192","doi-asserted-by":"crossref","unstructured":"Yildiran, U. (2019). Nonnegative wind speed time series models for sddp and stochastic programming applications.","DOI":"10.1109\/ISGTEurope.2019.8905724"},{"key":"6339_CR193","doi-asserted-by":"crossref","unstructured":"Zakeri, G., Pritchard, G., Moniotte, L., & Shanker, L. (2020). Potential impact of climate change on the new zealand electricity market. (Vol. 2020-January, pp. 3148\u20133155).","DOI":"10.24251\/HICSS.2020.383"},{"key":"6339_CR194","doi-asserted-by":"crossref","unstructured":"Zambelli, M., Luna, I., & Soares, S. (2009a). Long-term hydropower scheduling based on deterministic nonlinear optimization and annual inflow forecasting models.","DOI":"10.1109\/PTC.2009.5281782"},{"key":"6339_CR195","doi-asserted-by":"crossref","unstructured":"Zambelli, M., Luna, I., & Soares, S. (2009b). Predictive control approach for long-term hydropower scheduling using annual inflow forecasting model. (Vol.\u00a042, pp. 191\u2013196).","DOI":"10.3182\/20090705-4-SF-2005.00035"},{"key":"6339_CR196","doi-asserted-by":"crossref","unstructured":"Zambelli, M., Martins, L., & Soares, S. (2013). Model predictive control applied to the long-term hydrothermal scheduling of the brazilian power system.","DOI":"10.1109\/PTC.2013.6652378"},{"key":"6339_CR197","doi-asserted-by":"crossref","unstructured":"Zambelli, M., & Soares, S. (2009). A predictive control approach for long term hydrothermal scheduling. 2009 IEEE\/PES power systems conference and exposition (pp. 1\u20138).","DOI":"10.1109\/PSCE.2009.4840239"},{"issue":"6","key":"6339_CR198","doi-asserted-by":"publisher","first-page":"598","DOI":"10.1590\/S0103-17592011000600005","volume":"22","author":"M Zambelli","year":"2011","unstructured":"Zambelli, M., Toscano, A., Filho, S., Dos Santos, E., & Da Silva Filho, D. (2011). Newave versus odin: Comparison of stochastic and deterministic models for the long term hydropower scheduling of the interconnected brazilian system. Controle y Automacao, 22(6), 598\u2013609. https:\/\/doi.org\/10.1590\/S0103-17592011000600005","journal-title":"Controle y Automacao"},{"key":"6339_CR199","doi-asserted-by":"crossref","unstructured":"Zhao, Y., Chen, X., Jia, Q.-S., Guan, X., & Wang, H. (2010). Dynamic water resources planning with locational release and annual consumption constraints. (pp. 3932\u20133937).","DOI":"10.1109\/CDC.2010.5717140"},{"issue":"3","key":"6339_CR200","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1016\/j.omega.2012.07.005","volume":"41","author":"Y Zhou","year":"2013","unstructured":"Zhou, Y., Huang, G., & Yang, B. (2013). Water resources management under multi-parameter interactions: A factorial multi-stage stochastic programming approach. Omega (United Kingdom), 41(3), 559\u2013573. https:\/\/doi.org\/10.1016\/j.omega.2012.07.005","journal-title":"Omega (United Kingdom)"},{"key":"6339_CR201","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/892321","author":"Y Zhou","year":"2013","unstructured":"Zhou, Y., Li, Y., Huang, G., & Huang, Y. (2013). Development of optimal water-resources management strategies for kaidu-kongque watershed under multiple uncertainties. Mathematical Problems in Engineering. https:\/\/doi.org\/10.1155\/2013\/892321","journal-title":"Mathematical Problems in Engineering"},{"issue":"1","key":"6339_CR202","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1007\/s10107-018-1249-5","volume":"175","author":"J Zou","year":"2019","unstructured":"Zou, J., Ahmed, S., & Sun, X. A. (2019). Stochastic dual dynamic integer programming. Mathematical Programming, 175(1), 461\u2013502.","journal-title":"Mathematical Programming"}],"container-title":["Annals of Operations Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-024-06339-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10479-024-06339-0","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-024-06339-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T11:04:43Z","timestamp":1772622283000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10479-024-06339-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,15]]},"references-count":202,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,3]]}},"alternative-id":["6339"],"URL":"https:\/\/doi.org\/10.1007\/s10479-024-06339-0","relation":{},"ISSN":["0254-5330","1572-9338"],"issn-type":[{"value":"0254-5330","type":"print"},{"value":"1572-9338","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,15]]},"assertion":[{"value":"12 April 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 October 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 October 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All authors declare that they have no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}