{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T12:14:43Z","timestamp":1767183283160,"version":"3.40.3"},"publisher-location":"Cham","reference-count":47,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031747403"},{"type":"electronic","value":"9783031747410"}],"license":[{"start":{"date-parts":[[2024,10,19]],"date-time":"2024-10-19T00:00:00Z","timestamp":1729296000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,10,19]],"date-time":"2024-10-19T00:00:00Z","timestamp":1729296000000},"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\/978-3-031-74741-0_12","type":"book-chapter","created":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T20:29:35Z","timestamp":1729283375000},"page":"167-184","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Recent Trends in\u00a0Demand-Side Flexibility"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0690-3713","authenticated-orcid":false,"given":"Henrik","family":"Madsen","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4566-667X","authenticated-orcid":false,"given":"Seyed Shahabaldin","family":"Tohidi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2279-9565","authenticated-orcid":false,"given":"Razgar","family":"Ebrahimy","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4429-9422","authenticated-orcid":false,"given":"Mohsen","family":"Banaei","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5843-240X","authenticated-orcid":false,"given":"Tobias K. S.","family":"Ritschel","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9706-2042","authenticated-orcid":false,"given":"Nariman","family":"Mahdavi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,19]]},"reference":[{"key":"12_CR1","unstructured":"DNV, \u201cDemand-side flexibility in the EU: Quantification of benefits in 2030\u201d, 2022, Technical report. Accessed 12 July 2023"},{"key":"12_CR2","unstructured":"Australian\/New Zealand Standard AS\/NZS 4755.3.1:2014, Demand response capabilities and supporting technologies for electrical products. part 3.1: Interaction of demand response enabling devices and electrical products - operational instructions and connections for air conditioners, Standards Australia Limited\/Standards New Zealand, 2014"},{"key":"12_CR3","doi-asserted-by":"publisher","unstructured":"Mahdavi, N., Braslavsky, J.H.: Modelling and control of ensembles of variable-speed air conditioning loads for demand response. IEEE Trans. Smart Grid 11(5), 4249\u20134260 (2020). https:\/\/doi.org\/10.1109\/TSG.2020.2991835","DOI":"10.1109\/TSG.2020.2991835"},{"key":"12_CR4","unstructured":"European Commission, \u2018fit for 55\u2019: Delivering the EU\u2019s 2030 climate target on the way to climate neutrality, 2021"},{"key":"12_CR5","unstructured":"European Commission, REPowerEU plan, 2022"},{"key":"12_CR6","unstructured":"Centre for IT-Intelligent Energy Systems (CITIES), 2021. https:\/\/smart-cities-centre.org\/. Accessed 14 July 2024"},{"key":"12_CR7","unstructured":"Flexible Energy Denmark (FED), 2023. https:\/\/www.flexibleenergydenmark.com\/. Accessed 30 July 2024"},{"key":"12_CR8","unstructured":"Essential Energy, Network wide HV and LV scenario based hosting capacity analysis, 2022"},{"key":"12_CR9","doi-asserted-by":"publisher","first-page":"1151","DOI":"10.1109\/TPAS.1980.319745","volume":"99","author":"FC Schweppe","year":"1980","unstructured":"Schweppe, F.C., Tabors, R.D., Kirtley, J.L., Outhred, H.R., Pickel, F.H., Cox, A.J.: Homeostatic utility control. IEEE Trans. Power Appar. Syst. 99, 1151\u20131163 (1980)","journal-title":"IEEE Trans. Power Appar. Syst."},{"key":"12_CR10","unstructured":"FlexPower Project, 2009. http:\/\/www.ea-energianalyse.dk\/project. Accessed 20 Dec 2017"},{"issue":"1","key":"12_CR11","doi-asserted-by":"publisher","first-page":"421","DOI":"10.1109\/TPWRS.2012.2197027","volume":"28","author":"O Corradi","year":"2013","unstructured":"Corradi, O., Ochsenfeld, H., Madsen, H., Pinson, P.: Controlling electricity consumption by forecasting its response to varying prices. IEEE Trans. Power Syst. 28(1), 421\u2013429 (2013). https:\/\/doi.org\/10.1109\/TPWRS.2012.2197027","journal-title":"IEEE Trans. Power Syst."},{"key":"12_CR12","doi-asserted-by":"publisher","unstructured":"Halvgaard, R., Poulsen, N.K., Madsen, H., J\u00f8rgensen, J.B.: Economic model predictive control for building climate control in a smart grid. In: IEEE PES Innovative Smart Grid Technologies (ISGT) 2012, pp. 1\u20136 (2012). https:\/\/doi.org\/10.1109\/ISGT.2012.6175631","DOI":"10.1109\/ISGT.2012.6175631"},{"key":"12_CR13","doi-asserted-by":"crossref","unstructured":"Madsen, H., Parvizi, J., Halvgaard, R.F., et al.: Control of electricity loads in future electric energy systems. In: Conejo, A.J., Dahlquist, E., Yan, J. (eds.), Handbook of Clean Energy Systems (2015)","DOI":"10.1002\/9781118991978.hces033"},{"key":"12_CR14","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1016\/j.apenergy.2018.05.037","volume":"225","author":"RG Junker","year":"2018","unstructured":"Junker, R.G., Azar, A.G., Lopes, R.A., et al.: Characterizing the energy flexibility of buildings and districts. Appl. Energy 225, 175\u201382 (2018). https:\/\/doi.org\/10.1016\/j.apenergy.2018.05.037","journal-title":"Appl. Energy"},{"key":"12_CR15","unstructured":"Tohidi, S.S., Ritschel, T.K., Tsaousoglou, G., Thygesen, U.H., Madsen, H.: Stability analysis of nonlinear stochastic flexibility function in smart energy systems, 2024. http:\/\/arxiv.org\/2405.15099v1"},{"key":"12_CR16","doi-asserted-by":"publisher","unstructured":"Dognini, A., Challagonda, C., Moro, E., et al.: Data Spaces for Energy, Home and Mobility. RWTH Aachen University, 2022. https:\/\/doi.org\/10.5281\/zenodo.7193318","DOI":"10.5281\/zenodo.7193318"},{"key":"12_CR17","unstructured":"Flexi order. https:\/\/www.nordpoolgroup.com\/en\/trading\/Day-aheadtrading\/Order-types\/Flexi-order\/. Accessed 31 2024 July"},{"key":"12_CR18","doi-asserted-by":"publisher","unstructured":"Junker, R.G., Kalles\u00f8e, C.S., Real, J.P., Howard, B., Lopes, R.A., Madsen, H.: Stochastic nonlinear modelling and application of price-based energy flexibility. Appl. Energy 275(1), 115 096 (2020). https:\/\/doi.org\/10.1016\/j.apenergy.2020.115096","DOI":"10.1016\/j.apenergy.2020.115096"},{"key":"12_CR19","unstructured":"AEMC, Wholesale demand response mechanism, rule determination, 2020. https:\/\/www.aemc.gov.au\/sites\/default\/files\/documents\/final_determination_-_for_publication.pdf"},{"key":"12_CR20","doi-asserted-by":"publisher","unstructured":"Madsen, H.: Time Series Analysis. Chapman & Hall, London (2007). https:\/\/doi.org\/10.1201\/9781420059687","DOI":"10.1201\/9781420059687"},{"key":"12_CR21","unstructured":"Junker, R.G.: Characterisation and integration of energy flexibility through stochastic modelling and control, 2019"},{"issue":"1","key":"12_CR22","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/0378-7788(94)00904-X","volume":"22","author":"H Madsen","year":"1995","unstructured":"Madsen, H., Holst, J.: Estimation of continuous-time models for the heat dynamics of a building. Energy Build. 22(1), 67\u201379 (1995). https:\/\/doi.org\/10.1016\/0378-7788(94)00904-X","journal-title":"Energy Build."},{"issue":"7","key":"12_CR23","doi-asserted-by":"publisher","first-page":"1511","DOI":"10.1016\/j.enbuild.2011.02.005","volume":"43","author":"P Bacher","year":"2011","unstructured":"Bacher, P., Madsen, H.: Identifying suitable models for the heat dynamics of buildings. Energy Build. 43(7), 1511\u20131522 (2011). https:\/\/doi.org\/10.1016\/j.enbuild.2011.02.005","journal-title":"Energy Build."},{"key":"12_CR24","doi-asserted-by":"publisher","unstructured":"Rasmussen, C., Fr\u00f6lke, L., Bacher, P., Madsen, H., Rode, C.: Semiparametric modelling of sun position dependent solar gain using B-splines in grey-box models. Sol. Energy 195, 249\u2013258 (2020). https:\/\/doi.org\/10.1016\/j.solener.2019.11.023","DOI":"10.1016\/j.solener.2019.11.023"},{"key":"12_CR25","doi-asserted-by":"publisher","unstructured":"Thilker, C.A., Madsen, H., J\u00f8rgensen, J.B.: Advanced forecasting and disturbance modelling for model predictive control of smart energy systems. Appl. Energy 292, 116 889 (2021). https:\/\/doi.org\/10.1016\/j.apenergy.2021.116889","DOI":"10.1016\/j.apenergy.2021.116889"},{"key":"12_CR26","unstructured":"Tohidi, S.S., Madsen, H. , Cal\u00ec, D., Ritschel, T.K.S.: Optimal price signal generation for demand-side energy management, $$arXiv.org$$, 2024. https:\/\/arxiv.org\/abs\/2407.21759v1"},{"key":"12_CR27","doi-asserted-by":"crossref","unstructured":"Tohidi, S.S., Madsen, H., Tsaousoglou, G., Ritschel, T.K.S.: Adaptive flexibility function in smart energy systems: a linearized price-demand mapping approach. In: European Control Conference (ECC). IEEE 2024, pp. 1315\u20131320 (2024)","DOI":"10.23919\/ECC64448.2024.10590768"},{"key":"12_CR28","doi-asserted-by":"publisher","unstructured":"Blomgren, E., D\u2019Ettorre, F., Samuelsson, O., et al.: Grey-box modeling for hot-spot temperature prediction of oil-immersed transformers in power distribution networks. Sustain. Energy Grids Netw. 34 (2023). https:\/\/doi.org\/10.1016\/j.segan.2023.101048","DOI":"10.1016\/j.segan.2023.101048"},{"key":"12_CR29","unstructured":"Azar, A., Junker, R., Mortensen, S., Madsen, H.: Dynamic CO2 based control, Other, Orbit - Technical University of Denmark (2020)"},{"key":"12_CR30","doi-asserted-by":"crossref","unstructured":"Madina, C., Jimeno, J., Ortolano, L., et al.: Technologies and protocols: the experience of the three SmartNet pilots. In: Migliavacca, G. (ed.) TSO-DSO Interactions and Ancillary Services in Electricity Transmission and Distribution Networks, pp. 141\u2013183 (2019)","DOI":"10.1007\/978-3-030-29203-4_6"},{"key":"12_CR31","doi-asserted-by":"publisher","unstructured":"Stentoft, P.A., Munk-Nielsen, T., M\u00f8ller, J.K., et al.: Prioritize effluent quality, operational costs or global warming? - using predictive control of wastewater aeration for flexible management of objectives in WRRFs. Water Res. 196, 116 960 (2021). https:\/\/doi.org\/10.1016\/j.watres.2021.116960","DOI":"10.1016\/j.watres.2021.116960"},{"key":"12_CR32","doi-asserted-by":"publisher","unstructured":"Leprince, J., Schledorn, A., Guericke, D., Dominkovic, D.F., Madsen, H., Zeiler, W.: Can occupant behaviors affect urban energy planning? Distributed stochastic optimization for energy communities. Appl. Energy 348 (2023). https:\/\/doi.org\/10.1016\/j.apenergy.2023.121589","DOI":"10.1016\/j.apenergy.2023.121589"},{"key":"12_CR33","unstructured":"Tsaousoglou, G., Junker, R., Banaei, M., Tohidi, S.S., Madsen, H.: Integrating distributed flexibility into TSO-DSO coordinated electricity markets, IEEE Transactions on Energy Markets, Policy, and Regulation, To appear"},{"key":"12_CR34","unstructured":"SmartNet Project, 2018. http:\/\/smartnet-project.eu. Accessed 20 Dec 2021"},{"issue":"3","key":"12_CR35","doi-asserted-by":"publisher","first-page":"2249","DOI":"10.1109\/TSG.2020.3048738","volume":"12","author":"G Tsaousoglou","year":"2021","unstructured":"Tsaousoglou, G., Giraldo, J.S., Pinson, P., Paterakis, N.G.: Mechanism design for fair and efficient DSO flexibility markets. IEEE Trans. Smart Grid 12(3), 2249\u20132260 (2021)","journal-title":"IEEE Trans. Smart Grid"},{"issue":"7","key":"12_CR36","doi-asserted-by":"publisher","first-page":"4342","DOI":"10.1109\/TII.2021.3132036","volume":"18","author":"G Tsaousoglou","year":"2021","unstructured":"Tsaousoglou, G., Sartzetakis, I., Makris, P., Efthymiopoulos, N., Varvarigos, E., Paterakis, N.G.: Flexibility aggregation of temporally coupled resources in real-time balancing markets using machine learning. IEEE Trans. Ind. Inf. 18(7), 4342\u20134351 (2021)","journal-title":"IEEE Trans. Ind. Inf."},{"key":"12_CR37","unstructured":"OASC MIMs: Minimum interoperability mechanisms, 2022. https:\/\/mims.oascities.org\/. Accessed 21 July 2023"},{"key":"12_CR38","unstructured":"Redefining smart city platforms: Setting the stage for minimal interoperability mechanisms, 2023. https:\/\/www.itu.int\/en\/publications\/Documents\/. Accessed 20 July 2023"},{"key":"12_CR39","doi-asserted-by":"publisher","unstructured":"De Zotti, G., Pourmousavi Kani, S.A., Morales, J.M., Madsen, H., Poulsen, N.K.: Consumers\u2019 flexibility estimation at the TSO level for balancing services. IEEE Trans. Power Syst. 34(3), 1918\u20131930 (2018). https:\/\/doi.org\/10.1109\/TPWRS.2018.2885933","DOI":"10.1109\/TPWRS.2018.2885933"},{"issue":"6","key":"12_CR40","doi-asserted-by":"publisher","first-page":"615","DOI":"10.1002\/we.2819","volume":"26","author":"M Hansen","year":"2023","unstructured":"Hansen, M., Nystrup, P., M\u00f8ller, J., Madsen, H.: Reconciliation of wind power forecasts in spatial hierarchies. Wind Energy 26(6), 615\u2013632 (2023). https:\/\/doi.org\/10.1002\/we.2819","journal-title":"Wind Energy"},{"issue":"3","key":"12_CR41","doi-asserted-by":"publisher","first-page":"876","DOI":"10.1016\/j.ejor.2019.07.061","volume":"280","author":"P Nystrup","year":"2020","unstructured":"Nystrup, P., Lindstr\u00f8m, E., Pinson, P., Madsen, H.: Temporal hierarchies with autocorrelation for load forecasting. Eur. J. Oper. Res. 280(3), 876\u2013888 (2020)","journal-title":"Eur. J. Oper. Res."},{"issue":"2","key":"12_CR42","doi-asserted-by":"publisher","DOI":"10.1002\/wene.465","volume":"12","author":"ML S\u00f8rensen","year":"2023","unstructured":"S\u00f8rensen, M.L., Nystrup, P., Bjerregard, M.B., M\u00f8ller, J.K., Bacher, P., Madsen, H.: Recent developments in multivariate wind and solar power forecasting. Wiley Interdiscip. Rev. Energy Environ. 12(2), e465 (2023). https:\/\/doi.org\/10.1002\/wene.465","journal-title":"Wiley Interdiscip. Rev. Energy Environ."},{"key":"12_CR43","doi-asserted-by":"publisher","unstructured":"Banaei, M., D\u2019Ettorre, F., Ebrahimy, R., Pourmousavi, S.A., Blomgren, E.M., Madsen, H.: A stochastic methodology to exploit maximum flexibility of swimming pool heating systems. Int. J. Electr. Power Energy Syst. 145 (2023). https:\/\/doi.org\/10.1016\/j.ijepes.2022.108643","DOI":"10.1016\/j.ijepes.2022.108643"},{"issue":"11","key":"12_CR44","doi-asserted-by":"publisher","first-page":"4366","DOI":"10.3390\/en16114366","volume":"16","author":"EM Blomgren","year":"2023","unstructured":"Blomgren, E.M., Banaei, M., Ebrahimy, R., Samuelsson, O., D\u2019Ettorre, F., Madsen, H.: Intensive data-driven model for real-time observability in low-voltage radial DSO grids. Energies 16(11), 4366 (2023). https:\/\/doi.org\/10.3390\/en16114366","journal-title":"Energies"},{"key":"12_CR45","doi-asserted-by":"publisher","unstructured":"Lopes, R.A., Junker, R.G., Martins, J., Murta-Pina, J., Reynders, G., Madsen, H.: Characterisation and use of energy flexibility in water pumping and storage systems. Appl. Energy 277, 115 587 (2020). https:\/\/doi.org\/10.1016\/j.apenergy.2020.115587","DOI":"10.1016\/j.apenergy.2020.115587"},{"key":"12_CR46","unstructured":"Tohidi, S.S., Cali, D., Gaitani, N., et al.: Syn.ikia project: D4.2 characterization of the thermodynamic properties of the demonstration cases, 2022"},{"key":"12_CR47","unstructured":"Tohidi, S.S., Cali, D., Madsen, H.: Syn.ikia project: D4.3 software containing a mathematical implementation of the flexibility functions, 2023"}],"container-title":["Lecture Notes in Computer Science","Energy Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-74741-0_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T10:02:13Z","timestamp":1737367333000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-74741-0_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,19]]},"ISBN":["9783031747403","9783031747410"],"references-count":47,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-74741-0_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,10,19]]},"assertion":[{"value":"19 October 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EI.A","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Energy Informatics Academy Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kuta, Bali","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Indonesia","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":"23 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eia2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.energyinformatics.academy\/eia-2024-conference","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}