您当前的位置：
首页 >
文章列表页 >
Prediction of Electric Vehicle Charging Load Based on Traffic Equilibrium Theory
Energy Storage and Charging Technology | 更新时间：2025-09-30

    • Prediction of Electric Vehicle Charging Load Based on Traffic Equilibrium Theory

    • “In the field of electric vehicles, experts have proposed a charging load forecasting method based on traffic balance theory, which effectively reduces charging costs and alleviates the pressure on charging stations.”
    • Southern Power System Technology   Vol. 19, Issue 8, Pages: 150-162(2025)

    • DOI：10.13648/j.cnki.issn1674-0629.2025.08.015    

      CLC： TM73

    • Received：04 January 2024，

      Published Online：16 July 2025，

      Published：20 August 2025

    移动端阅览

  • ZHANG Meixia,ZHANG An,YANG Xiu,et al.Prediction of Electric Vehicle Charging Load Based on Traffic Equilibrium Theory[J].Southern Power System Technology,2025,19(08):150-162. DOI： 10.13648/j.cnki.issn1674-0629.2025.08.015.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Cloud-Edge Collaboration Based Two-Level Distributed Energy Scheduling for Multi-Microgrids
Cluster Partitioning and Operation Scheduling Strategy of Distribution Network Considering Electric Vehicles and Distributed PV Collaboration
Optimal Scheduling Strategy of Residential Station Area Considering the Potential Mining of Energy Storage of Various Elastic Resources
Deep Reinforcement Learning Based Optimization Method for Ordered Charging of Electric Vehicle

Related Author

ZUO Jiazhi
HUANG Chuhong
LIU Mingbo
HU Yaping
NIE Yongquan
ZHANG Shipeng
WANG Jinggang
CHEN Kai

Related Institution

Power Dispatching and Control Center
Guangdong Electric Power Design and Research Institute Co., Ltd., China Energy Engineering Corporation
College of Electric Power Engineering, South China University of Technology
State Grid Henan Electric Power Company
Zhengzhou Xianghe Electric Power Design Co. , Ltd.
0