Fast charging demand forecasting based on the intelligent sensing system of dynamic vehicle under EVs-traffic-distribution coupling
In order to promote the efficient utilization of clean energy, in this paper, a fast charging demand prediction model based on the intelligent sensing system of dynamic electric vehicles (EVs) under EVs-Traffic-Distribution coupling is proposed. The established model consists of two parts: electric...
Main Authors: | Yu Liu, Wei Liu, Shan Gao, Yan Wang, Qianyun Shi |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-08-01
|
Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S235248472200508X |
Similar Items
-
A Stochastic Methodology for EV Fast-Charging Load Curve Estimation Considering the Highway Traffic and User Behavior
by: Leonardo Nogueira Fontoura da Silva, et al.
Published: (2024-04-01) -
Planning Minimum Interurban Fast Charging Infrastructure for Electric Vehicles: Methodology and Application to Spain
by: Antonio Colmenar-Santos, et al.
Published: (2014-02-01) -
Coordinated planning of charging swapping stations and active distribution network based on EV spatial‐temporal load forecasting
by: Chenke He, et al.
Published: (2024-03-01) -
Optimal Utilization of Charging Resources of Fast Charging Station with Opportunistic Electric Vehicle Users
by: Konara Mudiyanselage Sandun Y. Konara, et al.
Published: (2023-02-01) -
Rural EV charging: The effects of charging behaviour and electricity tariffs
by: Thomas R. McKinney, et al.
Published: (2023-12-01)