Conference
Short-Term Load Forecast of Electric Vehicle Charging Station Based on SE-ALSTM-CNN
Abstract
With the rapid growth of electric vehicles (EV) over the past few years, accurate short-term load forecast of EV charging stations plays a critical role to reduce the impact of charging load on the power grid. To improve the forecasting accuracy, this paper proposes a short-term charging load forecasting method for the EV charging stations based on ALSTM-SE-CNN neural network. The experimental analysis and model comparison based on real EV …
Authors
He S; Huang P; Tang W; Guo Y; Li X
Series
Lecture Notes in Electrical Engineering
Volume
1209
Pagination
pp. 293-304
Publisher
Springer Nature
Publication Date
2024
DOI
10.1007/978-981-97-3682-9_29
Conference proceedings
Lecture Notes in Electrical Engineering
ISSN
1876-1100