Research paper
A Spatiotemporal Distribution Prediction Model for Electric Vehicles Charging Load in Transportation Power Coupled Network.
About this item
- Title
- A Spatiotemporal Distribution Prediction Model for Electric Vehicles Charging Load in Transportation Power Coupled Network.
- Content partner
- Auckland University of Technology
- Collection
- Tuwhera
- Description
With increasing demand of electric vehicles (EVs), problems such as insufficient EV charging piles and unreasonable layout of EV charging stations are also becoming prominent. New challenges are introduced to the planning of urban EV charging infrastructures. To effectively plan the charging facilities, accurately predicting EV charging loads is essential. The present study proposes a spatio-temporal distribution prediction model for EV charging loads in transportation-power coupled network (...
- Format
- Research paper
- Research format
- Journal article
- Date created
- 2025-02-01
- Creator
- Yang, Xiaolong / Yun, Jingwen / Zhou, Shuai / Lie, Tek Tjing / Han, Jieping / Xu, Xiaomin / Wang, Qian / Ge, Zeqi
- URL
- https://openrepository.aut.ac.nz/handle/10292/18585
- Related subjects
- Charging load prediction / Electric vehicles / Power flow analysis / Spatio-temporal / Transportation-power coupled network (TPCN)
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