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EV Scheduling with Deep Reinforcement Learning by Mohammed Asif is a document available to read on EtoBox.
What is EV Scheduling with Deep Reinforcement Learning about?
This paper presents a deep reinforcement learning-based Stackelberg game model for a virtual power plant (VPP) that incorporates electric vehicle (EV) charging stations. The model aims to optimize the scheduling and bidding strategies for electricity in the market while ensuring efficient operation of distributed energy resources (DERs). Results indicate that the VPP can effectively learn to sell electricity to EVs and improve overall economic performance through coordinated strategies.
- Author
- Mohammed Asif
- Language
- EN