Network-Constrained Reinforcement Learning for Optimal EV Charging Control-Reference-Cited by-同舟云学术

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Network-Constrained Reinforcement Learning for Optimal EV Charging Control

Published:2023-10-31 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
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Author:

Wu Tong¹,Scaglione Anna¹,Surani Adrian Petru¹,Arnold Daniel²,Peisert Sean²

Affiliation:

1. Cornell University,Department of Electrical and Computer Engineering, Cornell Tech,USA,10044

2. Lawrence Berkeley National Laboratory

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10333305/10333870/10333926.pdf?arnumber=10333926

Reference21 articles.

1. Realizing the electric-vehicle revolution

2. Electric Vehicles and Climate Change: Additional Contribution and Improved Economic Justification

3. A Scalable Stochastic Model for the Electricity Demand of Electric and Plug-In Hybrid Vehicles

4. Aggregate load models for demand response: Exploring flexibility

5. Actors, business models, and innovation activity systems for vehicle-to-grid (V2G) technology: A comprehensive review

Cited by 1 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

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