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

• المؤلفون الرئيسيون: Luo, Ruikang, Song, Yaofeng, Huang, Liping, Zhang, Yicheng, Su, Rong
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Electrical and electronic engineering; Deep Learning; Attribute-Augmented
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/165597

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...