Rolling Time Domain Charging Allocation of Electric Vehicles Under Time Varying Demand

Rolling Time Domain Charging Allocation of Electric Vehicles Under Time Varying Demand

To study the impact of traffic conditions of urban road networks and the distribution of potential demand of charging users on the charging distribution in the region. In this paper, the long short-time memory (LSTM) neural network is used to learn the historical user charging behavior data and pred...

Full description

Bibliographic Details
Main Authors: Taolue Chen, Chao Sun, Haowei Yin, Peizheng Wu, Jiangdong Tian
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Demand prediction
deep learning
dynamic charging allocation
integer programming
Online Access:https://ieeexplore.ieee.org/document/10411885/

Internet

https://ieeexplore.ieee.org/document/10411885/

Similar Items