Optimal self-consumption scheduling of highway electric vehicle charging station based on multi-agent deep reinforcement learning
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DOI: 10.1016/j.renene.2024.121982
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- Jin, Ruiyang & Zhou, Yuke & Lu, Chao & Song, Jie, 2022. "Deep reinforcement learning-based strategy for charging station participating in demand response," Applied Energy, Elsevier, vol. 328(C).
- Xiang, Yue & Lu, Yu & Liu, Junyong, 2023. "Deep reinforcement learning based topology-aware voltage regulation of distribution networks with distributed energy storage," Applied Energy, Elsevier, vol. 332(C).
- Woo, Hyeon & Son, Yongju & Cho, Jintae & Kim, Sung-Yul & Choi, Sungyun, 2023. "Optimal expansion planning of electric vehicle fast charging stations," Applied Energy, Elsevier, vol. 342(C).
- Hammam, Ahmed H. & Nayel, Mohamed A. & Mohamed, Mansour A., 2024. "Optimal design of sizing and allocations for highway electric vehicle charging stations based on a PV system," Applied Energy, Elsevier, vol. 376(PB).
- Wang, Kang & Wang, Haixin & Yang, Zihao & Feng, Jiawei & Li, Yanzhen & Yang, Junyou & Chen, Zhe, 2023. "A transfer learning method for electric vehicles charging strategy based on deep reinforcement learning," Applied Energy, Elsevier, vol. 343(C).
- Feng, Jiawei & Hou, Shengya & Yu, Lijun & Dimov, Nikolay & Zheng, Pei & Wang, Chunping, 2020. "Optimization of photovoltaic battery swapping station based on weather/traffic forecasts and speed variable charging," Applied Energy, Elsevier, vol. 264(C).
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Keywords
Highway EV charging station; Day-ahead and intra-day optimization; Traffic flow prediction; Multi-agent deep reinforcement learning; Self-consumption;All these keywords.
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