AST-GIN: attribute-augmented spatiotemporal graph informer network for electric vehicle charging station availability forecasting

AST-GIN: attribute-augmented spatiotemporal graph informer network for electric vehicle charging station availability forecasting

Electric Vehicle (EV) charging demand and charging station availability forecasting is one of the challenges in the intelligent transportation system. With accurate EV station availability prediction, suitable charging behaviors can be scheduled in advance to relieve range anxiety. Many existing dee...

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Bibliographic Details
Main Authors: Luo, Ruikang, Song, Yaofeng, Huang, Liping, Zhang, Yicheng, Su, Rong
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Electrical and electronic engineering
Deep Learning
Attribute-Augmented
Online Access:https://hdl.handle.net/10356/165597

Internet

https://hdl.handle.net/10356/165597

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