Short-Term Prediction of Wind Power Considering the Fusion of Multiple Spatial and Temporal Correlation Features

Short-Term Prediction of Wind Power Considering the Fusion of Multiple Spatial and Temporal Correlation Features

As the wind power penetration increases, the short-term prediction accuracy of wind power is of great importance for the safe and cost-effective operation of the power grid in which the wind power is integrated. Traditional wind farm power prediction uses numerical weather prediction (NWP) informati...

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Bibliographic Details
Main Authors:	Fangze Wu, Mao Yang, Chaoyu Shi
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-04-01
Series:	Frontiers in Energy Research
Subjects:	wind power wind farm cluster numerical weather prediction CNN-LSTM short-term prediction
Online Access:	https://www.frontiersin.org/articles/10.3389/fenrg.2022.878160/full

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