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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Những tác giả chính: Luo, Ruikang, Song, Yaofeng, Huang, Liping, Zhang, Yicheng, Su, Rong
Tác giả khác: School of Electrical and Electronic Engineering
Định dạng: Journal Article
Ngôn ngữ:English
Được phát hành: 2023
Những chủ đề:
Engineering::Electrical and electronic engineering
Deep Learning
Attribute-Augmented
Truy cập trực tuyến:https://hdl.handle.net/10356/165597

Internet

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

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