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

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

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...