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1 Ergebnisse
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A short‐term wind power prediction method based on deep lea..:
Peng, Xiaosheng
;
Li, Cong
;
Jia, Shiyuan
...
Wind Energy. 25 (2022) 9 - p. 1610-1625 , 2022
Link:
https://doi.org/10.1002/we.2761
RT Journal T1
A short‐term wind power prediction method based on deep learning and multistage ensemble algorithm
UL https://suche.suub.uni-bremen.de/peid=cr-10.1002_we.2761&Exemplar=1&LAN=DE A1 Peng, Xiaosheng A1 Li, Cong A1 Jia, Shiyuan A1 Zhou, Liangsong A1 Wang, Bo A1 Che, Jianfeng PB Wiley YR 2022 SN 1095-4244 SN 1099-1824 JF Wind Energy VO 25 IS 9 SP 1610 OP 1625 LK http://dx.doi.org/https://doi.org/10.1002/we.2761 DO https://doi.org/10.1002/we.2761 SF ELIB - SuUB Bremen
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