Intelligent EV Charging for Urban Prosumer Communities: An Auction and Multi-Agent Deep Reinforcement Learning Approach
Author:
Affiliation:
1. Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea
Funder
National Research Foundation of Korea(NRF) grant
Korea government
Institute of Information & Communications Technology Planning & Evaluation (IITP) grant
Korea governmen
Korea Government (MSIT)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications
Link
http://xplorestaging.ieee.org/ielx7/4275028/10034788/09737233.pdf?arnumber=9737233
Reference87 articles.
1. A Hierarchical ADMM Based Framework for EV Charging Scheduling
2. Cooperative between V2C and V2V charging: Less range anxiety and more charged EVs
3. Optimal Scheduling for Electric Vehicle Charging With Discrete Charging Levels in Distribution Grid
4. Towards Differential Privacy-Based Online Double Auction for Smart Grid
5. The charging-scheduling problem for electric vehicle networks
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