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1 Ergebnisse
1
Data-Driven Day-ahead Probabilistic Forecasting of Wind Pow..:
, In:
2023 IEEE Power & Energy Society General Meeting (PESGM)
,
Sun, Hao
;
Ye, Changqing
;
Wan, Can
.. - p. 1-5 , 2023
Link:
https://doi.org/10.1109/PESGM52003.2023.10252322
RT T1 <cTitle>2023 IEEE Power & Energy Society General Meeting (PESGM)</cTitle>: T1 <Title>Data-Driven Day-ahead Probabilistic Forecasting of Wind Power Based on Features Sensitivity Analysis and Meteorological Scenario Classification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10252322&Exemplar=1&LAN=DE A1 Sun, Hao A1 Ye, Changqing A1 Wan, Can A1 Yao, Hui A1 Zhang, Kaiming YR 2023 SN 1944-9933 K1 Correlation coefficient K1 Uncertainty K1 Wind power generation K1 Probabilistic logic K1 Feature extraction K1 Hybrid power systems K1 Data mining K1 probabilistic forecasting K1 wind power K1 features sensitivity K1 meteorological scenarios K1 uncertainty SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/PESGM52003.2023.10252322 DO https://doi.org/10.1109/PESGM52003.2023.10252322 SF ELIB - SuUB Bremen
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