A safe reinforcement learning-based charging strategy for electric vehicles in residential microgrid
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DOI: 10.1016/j.apenergy.2023.121490
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Cited by:
- Paesschesoone, Siebe & Kayedpour, Nezmin & Manna, Carlo & Crevecoeur, Guillaume, 2024. "Reinforcement learning for an enhanced energy flexibility controller incorporating predictive safety filter and adaptive policy updates," Applied Energy, Elsevier, vol. 368(C).
- Wang, Can & Zhang, Jiaheng & Wang, Aoqi & Wang, Zhen & Yang, Nan & Zhao, Zhuoli & Lai, Chun Sing & Lai, Loi Lei, 2024. "Prioritized sum-tree experience replay TD3 DRL-based online energy management of a residential microgrid," Applied Energy, Elsevier, vol. 368(C).
- Zhao, Zhonghao & Lee, Carman K.M. & Yan, Xiaoyuan & Wang, Haonan, 2024. "Reinforcement learning for electric vehicle charging scheduling: A systematic review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 190(C).
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Keywords
Electric vehicles; Charging scheduling; Safe reinforcement learning; Constrained soft actor-critic; Residential microgrid; Nonlinear charging characteristics;All these keywords.
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