太原理工大学学报2025，Vol.56Issue(3)：427-435,9.DOI:10.16355/j.tyut.1007-9432.20240216
快慢充模式下的充电站负荷预测
Load Prediction of Charging Stations in Fast and Slow Charging Modes
韩陆阳 1张文慧 2宋子泽 3郝晓燕2
作者信息
- 1. 山西晋云互联科技有限公司,太原
- 2. 太原理工大学计算机科学与技术学院(大数据学院),晋中
- 3. 太原理工大学 人工智能学院,晋中
- 折叠
摘要
Abstract
[Purposes]The existing charging station load prediction mainly uses traditional statisti-cal simulation or situation analyzation of electric vehicles(EVs)for forecasting,but the applicability and accuracy are not high enough.In response to this situation,it is proposed to predict the load of charging stations according to fast and slow charging modes.[Methods]First,the factors that affect the number of various types of EV in the charging station was analyzed,and BP neural network was used to predict the number of EVs in the charging station.Second,according to the different social functions of each type of EV,the proportion of fast and slow charging demands for each type of EV at each time was analyzed.Finally,LSTM and attention mechanism were used to predict the load of the charging station.[Results]The experimental results show that the accuracy of this method is higher than that of other existing methods.关键词
充电站/电动汽车/快慢充模式/负荷预测Key words
charging station/electric vehicle/fast and slow charging modes/load forecasting分类
信息技术与安全科学引用本文复制引用
韩陆阳,张文慧,宋子泽,郝晓燕..快慢充模式下的充电站负荷预测[J].太原理工大学学报,2025,56(3):427-435,9.
