Coordination of resources at the edge of the electricity grid: Systematic review and taxonomy
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DOI: 10.1016/j.apenergy.2022.119188
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Cited by:
- Tomasz Zema & Adam Sulich, 2022. "Models of Electricity Price Forecasting: Bibliometric Research," Energies, MDPI, vol. 15(15), pages 1-18, August.
- Karlson Hargroves & Benjamin James & Joshua Lane & Peter Newman, 2023. "The Role of Distributed Energy Resources and Associated Business Models in the Decentralised Energy Transition: A Review," Energies, MDPI, vol. 16(10), pages 1-15, May.
- Llorca, Manuel & Soroush, Golnoush & Giovannetti, Emanuele & Jamasb, Tooraj & Davi-Arderius, Daniel, 2024. "Energy Sector Digitalisation, Green Transition and Regulatory Trade-offs," Working Papers 5-2024, Copenhagen Business School, Department of Economics.
- Nawaz, Arshad & Zhou, Min & Wu, Jing & Long, Chengnian, 2022. "A comprehensive review on energy management, demand response, and coordination schemes utilization in multi-microgrids network," Applied Energy, Elsevier, vol. 323(C).
- Charbonnier, Flora & Morstyn, Thomas & McCulloch, Malcolm D., 2022. "Scalable multi-agent reinforcement learning for distributed control of residential energy flexibility," Applied Energy, Elsevier, vol. 314(C).
- Potenciano Menci, Sergio & Valarezo, Orlando, 2024. "Decoding design characteristics of local flexibility markets for congestion management with a multi-layered taxonomy," Applied Energy, Elsevier, vol. 357(C).
- Yong, Jin Yi & Tan, Wen Shan & Khorasany, Mohsen & Razzaghi, Reza, 2023. "Electric vehicles destination charging: An overview of charging tariffs, business models and coordination strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
- Abid, Md. Shadman & Apon, Hasan Jamil & Hossain, Salman & Ahmed, Ashik & Ahshan, Razzaqul & Lipu, M.S. Hossain, 2024. "A novel multi-objective optimization based multi-agent deep reinforcement learning approach for microgrid resources planning," Applied Energy, Elsevier, vol. 353(PA).
- May, Ross & Huang, Pei, 2023. "A multi-agent reinforcement learning approach for investigating and optimising peer-to-peer prosumer energy markets," Applied Energy, Elsevier, vol. 334(C).
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Keywords
Coordination; Renewable energy; Peer-to-peer energy trading; Transactive energy; Smart grids; Distributed energy resources;All these keywords.
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