Scenario-based modelling of future residential electricity demands and assessing their impact on distribution grids
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DOI: 10.1016/j.enpol.2012.12.078
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- Pereira, Guillermo Ivan & Specht, Jan Martin & Pereira da Silva, Patrícia & Madlener, Reinhard, 2018. "Technology, business model, and market design adaptation toward smart electricity distribution: Insights for policy making," FCN Working Papers 3/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
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- Klaassen, E.A.M. & Kobus, C.B.A. & Frunt, J. & Slootweg, J.G., 2016. "Responsiveness of residential electricity demand to dynamic tariffs: Experiences from a large field test in the Netherlands," Applied Energy, Elsevier, vol. 183(C), pages 1065-1074.
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- Kalhori, M. Rostam Niakan & Emami, I. Taheri & Fallahi, F. & Tabarzadi, M., 2022. "A data-driven knowledge-based system with reasoning under uncertain evidence for regional long-term hourly load forecasting," Applied Energy, Elsevier, vol. 314(C).
- Yang, Xinhe & Wang, Xiuli & Lu, Zhilin & Liang, Ziyang & Gu, Chenghong & Li, Furong, 2024. "Distribution network tariff design: Facilitate flexible resource under uncertain future energy scenarios," Energy Policy, Elsevier, vol. 188(C).
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- Niels Blaauwbroek & Phuong Nguyen & Han Slootweg, 2018. "Data-Driven Risk Analysis for Probabilistic Three-Phase Grid-Supportive Demand Side Management," Energies, MDPI, vol. 11(10), pages 1-18, September.
- Kubli, Merla, 2018. "Squaring the sunny circle? On balancing distributive justice of power grid costs and incentives for solar prosumers," Energy Policy, Elsevier, vol. 114(C), pages 173-188.
- Khan, Saad Salman & Ahmad, Sadiq & Naeem, Muhammad, 2023. "On-grid joint energy management and trading in uncertain environment," Applied Energy, Elsevier, vol. 330(PB).
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Keywords
Distribution networks; Energy transition; Load management;All these keywords.
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