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1 Ergebnisse
1
An Ultra-Short-Term Wind Power Forecasting Method Based on ..:
, In:
2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)
,
Da, Wang
;
Yv, Shi
;
Weiying, Deng
... - p. 2326-2334 , 2023
Link:
https://doi.org/10.1109/ICPSAsia58343.2023.10294681
RT T1 <cTitle>2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)</cTitle>: T1 <Title>An Ultra-Short-Term Wind Power Forecasting Method Based on Data-Physical Hybrid-Driven Model</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10294681&Exemplar=1&LAN=DE A1 Da, Wang A1 Yv, Shi A1 Weiying, Deng A1 Xiaozhuo, Guan A1 Mao, Yang A1 Xinnan, Yu YR 2023 K1 Fluctuations K1 Uncertainty K1 Wind speed K1 Switches K1 Predictive models K1 Wind power generation K1 Wind farms K1 wind power K1 ultra-short-term forecasting K1 data-physical hybrid driven K1 switching mechanism K1 spatiotemporal attention network SP 2326 OP 2334 LK http://dx.doi.org/https://doi.org/10.1109/ICPSAsia58343.2023.10294681 DO https://doi.org/10.1109/ICPSAsia58343.2023.10294681 SF ELIB - SuUB Bremen
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