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1 Ergebnisse
1
GPR-Based Wind Power Probabilistic Prediction Model Conside..:
, In:
2022 12th International Conference on Power and Energy Systems (ICPES)
,
Cheng, Song
;
Ren, Jing
;
Zhou, Xin
... - p. 790-794 , 2022
Link:
https://doi.org/10.1109/ICPES56491.2022.10073194
RT T1 <cTitle>2022 12th International Conference on Power and Energy Systems (ICPES)</cTitle>: T1 <Title>GPR-Based Wind Power Probabilistic Prediction Model Considering Multiple Meteorological Factors</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10073194&Exemplar=1&LAN=DE A1 Cheng, Song A1 Ren, Jing A1 Zhou, Xin A1 Gao, Min A1 Guo, Meilun A1 Kou, Peng YR 2022 SN 2767-732X K1 Meteorological factors K1 Atmospheric modeling K1 Simulation K1 Wheels K1 Gaussian processes K1 Wind power generation K1 Predictive models K1 Wind power prediction K1 probabilistic prediction K1 Gaussian process regression K1 correlation analysis SP 790 OP 794 LK http://dx.doi.org/https://doi.org/10.1109/ICPES56491.2022.10073194 DO https://doi.org/10.1109/ICPES56491.2022.10073194 SF ELIB - SuUB Bremen
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