Electric vehicle charging scheduling control strategy for the large-scale scenario with non-cooperative game-based multi-agent reinforcement learning
Author:
Funder
Fundamental Research Funds for the Central Universities
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Reference65 articles.
1. Networked electric vehicles for green intelligent transportation;Lin;IEEE Commun Stand Mag,2017
2. A decision policy for the routing and munitions management of multiformations of unmanned combat vehicles in adversarial urban environments;Lechevin;IEEE Trans Control Syst Technol,2009
3. Resource optimization protocol based on multicommunity model for intermittently connected mobile networks;Wang;IEEE Syst J,2020
4. An EV charging management system concerning drivers’ trip duration and mobility uncertainty;Cao;IEEE Trans Syst Man Cybern Syst,2018
5. Deep learning for LiDAR point clouds in autonomous driving: A review;Li;IEEE Trans Neural Netw Learn Syst,2021
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