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Day-ahead power load forecasting based on Patch-LSTM-MLP:
, In:
2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC)
,
Wang, Fan
;
Jia, Wei
;
Lei, Caijia
... - p. 1637-1642 , 2024
Link:
https://doi.org/10.1109/YAC63405.2024.10598542
RT T1 <cTitle>2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC)</cTitle>: T1 <Title>Day-ahead power load forecasting based on Patch-LSTM-MLP</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10598542&Exemplar=1&LAN=DE A1 Wang, Fan A1 Jia, Wei A1 Lei, Caijia A1 Lu, Yuxin A1 Cai, Ziwen A1 Pan, Wei YR 2024 SN 2837-8601 K1 Correlation K1 Uncertainty K1 Recurrent neural networks K1 Load forecasting K1 Predictive models K1 Multilayer perceptrons K1 Power systems K1 Power Load Forecasting K1 Long Short-Term Memory K1 Multilayer Perception Machine K1 Patch technology SP 1637 OP 1642 LK http://dx.doi.org/https://doi.org/10.1109/YAC63405.2024.10598542 DO https://doi.org/10.1109/YAC63405.2024.10598542 SF ELIB - SuUB Bremen
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