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An improved error decoupling approach for wind power predic..:
, In:
12th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2022)
,
Hao, L.
;
Shen, Y.
;
Hu, Y.
... - p. None , 2022
Link:
https://doi.org/10.1049/icp.2023.0112
RT T1 <cTitle>12th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2022)</cTitle>: T1 <Title>An improved error decoupling approach for wind power prediction result analysis</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10137581&Exemplar=1&LAN=DE A1 Hao, L. A1 Shen, Y. A1 Hu, Y. A1 Zheng, L. A1 Wen, W. A1 Ye, J. A1 Zeng, X. A1 Wang, D. YR 2022 K1 numerical analysis K1 weather forecasting K1 wind power plants K1 actual meteorological conditions K1 error decoupling approach K1 numerical weather forecast K1 NWP K1 wind farm operating schedules K1 wind power prediction errors K1 wind-power conversion model construction SP None LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.0112 DO https://doi.org/10.1049/icp.2023.0112 SF ELIB - SuUB Bremen
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