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1 Ergebnisse
1
An ultra-short-term wind power prediction method based on C..:
, In:
2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
,
Zhou, Wenbo
;
Xin, Ming
;
Wang, Yanli
... - p. 1007-1011 , 2024
Link:
https://doi.org/10.1109/IAEAC59436.2024.10503703
RT T1 <cTitle>2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)</cTitle>: T1 <Title>An ultra-short-term wind power prediction method based on CNN-LSTM</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10503703&Exemplar=1&LAN=DE A1 Zhou, Wenbo A1 Xin, Ming A1 Wang, Yanli A1 Yang, Chen A1 Liu, Songsong A1 Zhang, Ruizhi A1 Liu, Xudong A1 Zhou, Lina YR 2024 SN 2689-6621 K1 Computational modeling K1 Neural networks K1 Predictive models K1 Wind power generation K1 Feature extraction K1 Prediction algorithms K1 Data models K1 ultra-short-term wind power prediction K1 convolutional neural networks(CNN) K1 long short-term memory (LSTM) K1 Combination model SP 1007 OP 1011 LK http://dx.doi.org/https://doi.org/10.1109/IAEAC59436.2024.10503703 DO https://doi.org/10.1109/IAEAC59436.2024.10503703 SF ELIB - SuUB Bremen
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