Toward residential flexibility—Consumer willingness to enroll household loads in demand response
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DOI: 10.1016/j.apenergy.2023.121204
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Cited by:
- Roksana Yasmin & B. M. Ruhul Amin & Rakibuzzaman Shah & Andrew Barton, 2024. "A Survey of Commercial and Industrial Demand Response Flexibility with Energy Storage Systems and Renewable Energy," Sustainability, MDPI, vol. 16(2), pages 1-41, January.
- Kuang, Biao & Shi, Yangming & Hu, Yuqing & Zeng, Zhaoyun & Chen, Jianli, 2024. "Household energy resilience in extreme weather events: An investigation of energy service importance, HVAC usage behaviors, and willingness to pay," Applied Energy, Elsevier, vol. 363(C).
- Jaka Rober & Leon Maruša & Miloš Beković, 2023. "A Machine Learning Application for the Energy Flexibility Assessment of a Distribution Network for Consumers," Energies, MDPI, vol. 16(17), pages 1-20, August.
- Sridhar, Araavind & Honkapuro, Samuli & Ruiz, Fredy & Stoklasa, Jan & Annala, Salla & Wolff, Annika, 2024. "Residential consumer enrollment in demand response: An agent based approach," Applied Energy, Elsevier, vol. 374(C).
- Nilsson, Anders & Bartusch, Cajsa, 2024. "Empowered or enchained? Exploring consumer perspectives on Direct Load Control," Energy Policy, Elsevier, vol. 192(C).
- Zarghami, Seyed Ashkan, 2025. "The role of economic policies in achieving sustainable development goal 7: Insights from OECD and European countries," Applied Energy, Elsevier, vol. 377(PB).
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Keywords
Demand response; Direct load control; Willingness to enroll; Sociodemographic; Qualitative comparative analysis; Survey;All these keywords.
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