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1 Ergebnisse
1
The VMD-CNN-Trans model used for ultra-short-term power pre..:
, In:
2023 IEEE Sustainable Power and Energy Conference (iSPEC)
,
Guobin, Fu
;
Xuebin, Wang
;
Han, Zhu
... - p. 1-5 , 2023
Link:
https://doi.org/10.1109/iSPEC58282.2023.10402800
RT T1 <cTitle>2023 IEEE Sustainable Power and Energy Conference (iSPEC)</cTitle>: T1 <Title>The VMD-CNN-Trans model used for ultra-short-term power prediction in wind farms</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10402800&Exemplar=1&LAN=DE A1 Guobin, Fu A1 Xuebin, Wang A1 Han, Zhu A1 Rui, Song A1 Yang, Xu A1 Dingran, Cheng A1 Yang, Cui A1 Renyue, Jing YR 2023 SN 2837-522X K1 Wind power generation K1 Predictive models K1 Prediction algorithms K1 Feature extraction K1 Transformers K1 Spatiotemporal phenomena K1 Convolutional neural networks K1 wind power prediction K1 Variable Mode Decomposition K1 convolutional neural network K1 Transformer SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/iSPEC58282.2023.10402800 DO https://doi.org/10.1109/iSPEC58282.2023.10402800 SF ELIB - SuUB Bremen
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