Knowledge Assisted Deep Reinforcement Learning for Electric Vehicle Charging Control

Deep reinforcement learning (DRL) is a promising data-driven approach to solve the electric vehicle (EV) charging problem. However, DRL based charging strategies maybe not always meet the requirements of users. In this paper, a knowledge-assisted algorithm combining twin delayed deep deterministic p...

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Veröffentlicht in:	2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) S. 1882 - 1887
Hauptverfasser:	Zai, Rui, Guo, Ye, Liu, Qiong, Sun, Hongbin, Wu, Qiuwei, Xiao, Li
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 11.11.2022
Schlagworte:	Charging control Costs Deep learning Electric vehicle charging imitation learning Process control Reinforcement learning Simulation System integration twin delayed deep deterministic policy gradient algorithm (TD3)
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