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1 Ergebnisse
1
Ultra Short Term Power Forecasting of Wind Generation Based..:
, In:
2023 3rd Power System and Green Energy Conference (PSGEC)
,
Zhang, Haitao
;
Zhu, Qihu
;
Li, Wenjuan
... - p. 176-180 , 2023
Link:
https://doi.org/10.1109/PSGEC58411.2023.10255886
RT T1 <cTitle>2023 3rd Power System and Green Energy Conference (PSGEC)</cTitle>: T1 <Title>Ultra Short Term Power Forecasting of Wind Generation Based on Improved LSTM</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10255886&Exemplar=1&LAN=DE A1 Zhang, Haitao A1 Zhu, Qihu A1 Li, Wenjuan A1 Li, Xuefeng A1 Xie, Changqing A1 Xiang, Chunyong A1 Fan, Jinghao YR 2023 K1 Correlation K1 Wind speed K1 Neural networks K1 Training data K1 Wind power generation K1 Feature extraction K1 Power systems K1 wind power prediction K1 TPA K1 Improved LSTM K1 anomaly detection K1 DBSCAN K1 linear regression SP 176 OP 180 LK http://dx.doi.org/https://doi.org/10.1109/PSGEC58411.2023.10255886 DO https://doi.org/10.1109/PSGEC58411.2023.10255886 SF ELIB - SuUB Bremen
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