Power output optimization of electric vehicles smart charging hubs using deep reinforcement learning

作者：

Highlights：

• This paper proposes real-time EVs charging through deep reinforcement learning.

• Innovative framework: clustering EVs characteristics, deep NN to predict charging.

• Results show reduction of 80% of the load during peak times.

摘要

•This paper proposes real-time EVs charging through deep reinforcement learning.•Innovative framework: clustering EVs characteristics, deep NN to predict charging.•Results show reduction of 80% of the load during peak times.

论文关键词：Reinforcement learning,Electric vehicles,Real-time charging scheduling,Neural network,Clustering algorithm

论文评审过程：Received 29 April 2021, Revised 23 March 2022, Accepted 25 March 2022, Available online 4 April 2022, Version of Record 23 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116995