A Reinforcement Learning Approach for EV Charging Station Dynamic Pricing and Scheduling Control-Reference-Cited by-同舟云学术

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A Reinforcement Learning Approach for EV Charging Station Dynamic Pricing and Scheduling Control

Published:2018-08 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE Power & Energy Society General Meeting (PESGM)
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Author:

Wang Shuoyao,Bi Suzhi,Zhang Ying-Jun Angela

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8540807/8585734/08586075.pdf?arnumber=8586075

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reinforcement learning for electric vehicle charging scheduling: A systematic review;Transportation Research Part E: Logistics and Transportation Review;2024-10

2. Charge Scheduling Optimization of Electric Vehicles: A Comprehensive Review of Essentiality, Perspectives, Techniques, and Security;IEEE Access;2024

3. Integrating Differential Privacy and Reinforcement Learning for Efficient and Location Privacy-Preserving Electric Vehicle Charging/Discharging Scheduling;2023 China Automation Congress (CAC);2023-11-17

4. Energy Management System of an Electric Vehicle Charging Station Using Q-Learning and Artificial Intelligence;2023 IEEE PES GTD International Conference and Exposition (GTD);2023-05

5. A Deployable Online Optimization Framework for EV Smart Charging with Real-World Test Cases;2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm);2022-10-25

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