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1 Ergebnisse
1
A wind power prediction model based on optimized N-BEATS ne..:
, In:
2023 IEEE Power & Energy Society General Meeting (PESGM)
,
Li, Jun
;
Lin, Tao
;
Du, Hui
... - p. 1-5 , 2023
Link:
https://doi.org/10.1109/PESGM52003.2023.10253377
RT T1 <cTitle>2023 IEEE Power & Energy Society General Meeting (PESGM)</cTitle>: T1 <Title>A wind power prediction model based on optimized N-BEATS network with multivariate inputs</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10253377&Exemplar=1&LAN=DE A1 Li, Jun A1 Lin, Tao A1 Du, Hui A1 Li, Qingyan A1 Fu, Xiyue A1 Xu, Xialing YR 2023 SN 1944-9933 K1 Uncertainty K1 Meteorological factors K1 Wind energy K1 Wind speed K1 Wind power generation K1 Predictive models K1 Wind farms K1 deep learning K1 N-BEATS network K1 temporal convolutional network K1 short-term wind power prediction SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/PESGM52003.2023.10253377 DO https://doi.org/10.1109/PESGM52003.2023.10253377 SF ELIB - SuUB Bremen
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