{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T19:05:07Z","timestamp":1743015907528,"version":"3.40.3"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031782374"},{"type":"electronic","value":"9783031782381"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-78238-1_34","type":"book-chapter","created":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T22:15:23Z","timestamp":1738275323000},"page":"376-392","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Intraday Multireservoir Hydropower Optimization with Alternative Deep Reinforcement Learning Configurations"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-3171-2583","authenticated-orcid":false,"given":"Rodrigo","family":"Castro Freibott","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5774-1430","authenticated-orcid":false,"given":"\u00c1lvaro","family":"Garc\u00eda S\u00e1nchez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-3072-6934","authenticated-orcid":false,"given":"Francisco","family":"Espiga-Fern\u00e1ndez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-9117-3554","authenticated-orcid":false,"given":"Guillermo","family":"Gonz\u00e1lez-Santander de la Cruz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,1,31]]},"reference":[{"issue":"11","key":"34_CR1","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1080\/14786440109462720","volume":"2","author":"K Pearson","year":"1901","unstructured":"Pearson, K.: On lines and planes of closest fit to systems of points in space. Philos. Mag. 2(11), 559\u2013572 (1901). https:\/\/doi.org\/10.1080\/14786440109462720","journal-title":"Philos. Mag."},{"issue":"11","key":"34_CR2","doi-asserted-by":"publisher","first-page":"W11408","DOI":"10.1029\/2006WR005627","volume":"43","author":"J-H Lee","year":"2007","unstructured":"Lee, J.-H., Labadie, J.W.: Stochastic optimization of multireservoir systems via reinforcement learning. Water Resour. Res. 43(11), W11408 (2007). https:\/\/doi.org\/10.1029\/2006WR005627","journal-title":"Water Resour. Res."},{"issue":"9","key":"34_CR3","doi-asserted-by":"publisher","first-page":"W09507","DOI":"10.1029\/2009WR008898","volume":"46","author":"A Castelletti","year":"2010","unstructured":"Castelletti, A., et al.: Tree-based reinforcement learning for optimal water reservoir operation. Water Resour. Res. 46(9), W09507 (2010). https:\/\/doi.org\/10.1029\/2009WR008898","journal-title":"Water Resour. Res."},{"key":"34_CR4","doi-asserted-by":"publisher","unstructured":"Dariane, A.B., Moradi, A.M.: Comparative analysis of evolving artificial neural network and reinforcement learning in stochastic optimization of multireservoir systems. Hydrol. Sci. J. 61(6), 1141\u20131156 (2016). https:\/\/doi.org\/10.1080\/02626667.2014.986485","DOI":"10.1080\/02626667.2014.986485"},{"key":"34_CR5","unstructured":"Zarghami, M.: Short term management of hydro-power system using reinforcement learning. \u00c9cole de technologie sup\u00e9rieure (2018). https:\/\/books.google.es\/books?id=xHscvwEACAAJ"},{"key":"34_CR6","unstructured":"Haarnoja, T., et al.: Soft actor-critic: off-policy maximum entropy deep reinforcement learning with a stochastic actor. arXiv preprint arXiv:1801.01290 (2018)"},{"key":"34_CR7","doi-asserted-by":"crossref","unstructured":"Matheussen, B. V. et al.: Hydropower optimization using deep learning. In: International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (2019). https:\/\/api.semanticscholar.org\/CorpusID:195755546","DOI":"10.1007\/978-3-030-22999-3_11"},{"issue":"9","key":"34_CR8","doi-asserted-by":"publisher","first-page":"3003","DOI":"10.1007\/s11269-020-02600-w","volume":"34","author":"W Xu","year":"2020","unstructured":"Xu, W., et al.: Deep RL for cascaded hydropower reservoirs considering inflow forecasts. Water Resour. Manage. 34(9), 3003\u20133018 (2020). https:\/\/doi.org\/10.1007\/s11269-020-02600-w","journal-title":"Water Resour. Manage."},{"issue":"8","key":"34_CR9","doi-asserted-by":"publisher","first-page":"04021045","DOI":"10.1061\/(ASCE)WR.1943-5452.0001409","volume":"147","author":"W Xu","year":"2021","unstructured":"Xu, W., et al.: Deep RL for optimal hydropower reservoir operation. J. Water Resour. Plann. Manage. 147(8), 04021045 (2021). https:\/\/doi.org\/10.1061\/(ASCE)WR.1943-5452.0001409","journal-title":"J. Water Resour. Plann. Manage."},{"key":"34_CR10","unstructured":"Raffin, A. et al.: Stable-baselines3: reliable reinforcement learning implementations. J. Mach. Learn. Res. 22(268), 1\u20138 (2021). http:\/\/jmlr.org\/papers\/v22\/20-1364.html"},{"key":"34_CR11","doi-asserted-by":"publisher","unstructured":"Towers, M., et al.: Gymnasium. Zenodo (2023). https:\/\/doi.org\/10.5281\/zenodo.8127026, https:\/\/zenodo.org\/record\/8127025","DOI":"10.5281\/zenodo.8127026"},{"key":"34_CR12","unstructured":"OMIE: Operador del Mercado Ib\u00e9rico de Energ\u00eda. OMIGROUP. https:\/\/www.omie.es\/es\/file-access-list?parents%5B0%5D=\/&parents%5B1%5D=Mercado%20Diario &parents%5B2%5D=1.%20Precios &dir=Precios%20horarios%20del%20mercado%20diario%20en%20Espa%C3%B1a &realdir=marginalpdbc. Accessed 6 Feb 2023"}],"container-title":["Lecture Notes in Computer Science","Decision Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78238-1_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T22:15:29Z","timestamp":1738275329000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78238-1_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031782374","9783031782381"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78238-1_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"31 January 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DSA ISC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Decision Science Alliance International Summer Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Valencia","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 June 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dsaisc2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/decisionsciencealliance.org\/ISC-2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}