A Constraint-Based Routing and Charging Methodology for Battery Electric Vehicles With Deep Reinforcement Learning
Author:
Affiliation:
1. School of Control and Computer Engineering, North China Electric Power University, Beijing, China
2. School of Computer Science and Engineering Department, University of Minnesota College of Science and Engineering, Minneapolis, MN, USA
Funder
National Natural Science Foundation of China
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research
Jilin Scientific and Technological Development Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/5165411/10106635/09924526.pdf?arnumber=9924526
Reference45 articles.
1. What does an electric vehicle replace?
2. Deep Reinforcement Learning for Continuous Electric Vehicles Charging Control With Dynamic User Behaviors
3. Electric vehicle tour planning
4. Two-phase bicriterion search for finding fast and efficient electric vehicle routes
5. Efficient Placement of Electric Vehicles Charging Stations using Integer Linear Programming
Cited by 9 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. Online optimal scheduling for battery swapping charging systems with partial delivery;Electric Power Systems Research;2024-10
2. A reinforcement learning method for two‐layer shipboard real‐time energy management considering battery state estimation;IET Energy Systems Integration;2024-07-02
3. Leveraging machine learning for efficient EV integration as mobile battery energy storage systems: Exploring strategic frameworks and incentives;Journal of Energy Storage;2024-07
4. Electric vehicle charging navigation strategy in coupled smart grid and transportation network: A hierarchical reinforcement learning approach;International Journal of Electrical Power & Energy Systems;2024-06
5. Enabling Continuous Operation of Shared Autonomous Vehicles With Dynamic Wireless Charging;IEEE Transactions on Intelligent Transportation Systems;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3