Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-Grid Integration-Reference-Cited by-同舟云学术

Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-Grid Integration

Published:2022-07 Issue:4 Volume:13 Page:3038-3048
ISSN:1949-3053
Container-title:IEEE Transactions on Smart Grid
language:
Short-container-title:IEEE Trans. Smart Grid

Author:

Ye Zuzhao¹^ORCID,Gao Yuanqi¹^ORCID,Yu Nanpeng¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of California at Riverside, Riverside, CA, USA

Funder

University of California Institute of Transportation Studies from the State of California through the Public Transportation Account and the Road Repair and Accountability Act of 2017

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/5165411/9801905/09750198.pdf?arnumber=9750198

Reference48 articles.

1. Deep Reinforcement Learning Based Optimal Schedule for a Battery Swapping Station Considering Uncertainties

2. An Online Reinforcement Learning Approach for Dynamic Pricing of Electric Vehicle Charging Stations

3. Development and Evaluation of a Smart Charging Strategy for an Electric Vehicle Fleet Based on Reinforcement Learning

4. Coordination of Electric Vehicle Charging Through Multiagent Reinforcement Learning

5. Optimal Electric Vehicle Charging Strategy With Markov Decision Process and Reinforcement Learning Technique

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