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1 Ergebnisse
1
Short-Term Wind Power Forecasting Based on Two-Stage Featur..:
, In:
2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)
,
Zheng, Jie
;
Niu, Zhewen
;
Han, Xiaoqing
.. - p. 1181-1186 , 2023
Link:
https://doi.org/10.1109/CEEPE58418.2023.10166711
RT T1 <cTitle>2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)</cTitle>: T1 <Title>Short-Term Wind Power Forecasting Based on Two-Stage Feature Selection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10166711&Exemplar=1&LAN=DE A1 Zheng, Jie A1 Niu, Zhewen A1 Han, Xiaoqing A1 Wu, Yuxiang A1 Cui, Xiaorui YR 2023 K1 Correlation coefficient K1 Correlation K1 Computational modeling K1 Neural networks K1 Redundancy K1 Wind power generation K1 Predictive models K1 short-term wind power forecast K1 feature selecting K1 attention mechanisms K1 recurrent neural network SP 1181 OP 1186 LK http://dx.doi.org/https://doi.org/10.1109/CEEPE58418.2023.10166711 DO https://doi.org/10.1109/CEEPE58418.2023.10166711 SF ELIB - SuUB Bremen
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