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Short-Term Load Prediction of EV Charging Station Based on ..:
, In:
2024 IEEE 2nd International Conference on Power Science and Technology (ICPST)
,
Xu, Ziyu
;
Cao, Kuan
;
Liu, Yutian
. - p. 2068-2073 , 2024
Link:
https://doi.org/10.1109/ICPST61417.2024.10602175
RT T1 <cTitle>2024 IEEE 2nd International Conference on Power Science and Technology (ICPST)</cTitle>: T1 <Title>Short-Term Load Prediction of EV Charging Station Based on LSTM Recursion</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10602175&Exemplar=1&LAN=DE A1 Xu, Ziyu A1 Cao, Kuan A1 Liu, Yutian A1 Wang, Chunyi YR 2024 K1 Recurrent neural networks K1 Accuracy K1 Uncertainty K1 Simulation K1 Predictive models K1 Feature extraction K1 Electric vehicle charging K1 EV charging K1 K-means clustering K1 LSTM neural network K1 Short-term load prediction K1 Sliding window principle SP 2068 OP 2073 LK http://dx.doi.org/https://doi.org/10.1109/ICPST61417.2024.10602175 DO https://doi.org/10.1109/ICPST61417.2024.10602175 SF ELIB - SuUB Bremen
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