Conditions for a cost-effective application of smart thermostat systems in residential buildings
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DOI: 10.1016/j.apenergy.2020.114526
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- Hafsa Bousbiat & Yassine Himeur & Iraklis Varlamis & Faycal Bensaali & Abbes Amira, 2023. "Neural Load Disaggregation: Meta-Analysis, Federated Learning and Beyond," Energies, MDPI, vol. 16(2), pages 1-22, January.
- Qingwei Shi & Hong Ren & Weiguang Cai & Jingxin Gao, 2020. "How to Set the Proper CO 2 Reduction Targets for the Provincial Building Sector of China?," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
- Große-Kreul, Felix, 2022. "What will drive household adoption of smart energy? Insights from a consumer acceptance study in Germany," Utilities Policy, Elsevier, vol. 75(C).
- He, Xianya & Lin, Jian & Xu, Jinmei & Huang, Jingzhi & Wu, Nianyuan & Zhang, Yining & Liu, Songling & Jing, Rui & Xie, Shan & Zhao, Yingru, 2023. "Long-term planning of wind and solar power considering the technology readiness level under China's decarbonization strategy," Applied Energy, Elsevier, vol. 348(C).
- Fabio Gualandri & Aleksandra Kuzior, 2023. "Home Energy Management Systems Adoption Scenarios: The Case of Italy," Energies, MDPI, vol. 16(13), pages 1-20, June.
- Ma, Minda & Ma, Xin & Cai, Wei & Cai, Weiguang, 2020. "Low carbon roadmap of residential building sector in China: Historical mitigation and prospective peak," Applied Energy, Elsevier, vol. 273(C).
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Keywords
Smart thermostat systems; Residential buildings; CO2 mitigation costs; Payback times; Relative energy savings; Dynamic investment model;All these keywords.
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