Evolutionary Game-theoretic Analysis for Residential Users Considering Integrated Demand Response-Reference-Cited by-同舟云学术

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Evolutionary Game-theoretic Analysis for Residential Users Considering Integrated Demand Response

Published:2021 Issue:6 Volume:9 Page:1500-1509
ISSN:2196-5625
Container-title:Journal of Modern Power Systems and Clean Energy
language:en
Short-container-title:

Author:

Gao Bingtuan,Chen Chen,Qin Yanhui,Liu Xiaofeng,Zhu Zhenyu

Publisher

Journal of Modern Power Systems and Clean Energy

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning–based urban energy forecasting model for residential building energy efficiency;Energy Exploration & Exploitation;2024-05-30

2. Gamification Approaches and Assessment Methodologies for Occupants’ Energy Behavior Change in Buildings: A Systematic Review;Buildings;2024-05-22

3. Review of virtual power plant operations: Resource coordination and multidimensional interaction;Applied Energy;2024-03

4. Game-Theoretic Applications for Decision-Making Behavior on the Energy Demand Side: a Systematic Review;Protection and Control of Modern Power Systems;2024-03

5. Coordinated siting and sizing for integrated energy system considering generalized energy storage;International Journal of Electrical Power & Energy Systems;2024-01

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