A comprehensive wind speed forecast correction strategy with an artificial intelligence algorithm

A comprehensive wind speed forecast correction strategy with an artificial intelligence algorithm

Wind speed forecasting is critical to renewable energy generation, agriculture, and disaster prevention. Due to the uncertainty and intermittence of wind, conventional forecasting methods with numerical weather prediction (NWP) models fall short of achieving satisfactorily high accuracy. Post-proces...

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Bibliographic Details
Main Authors: Xueliang Zhao, Qilong Sun, Wanru Tang, Shuang Yu, Boyu Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Environmental Science
Subjects:
wind speed
numerical weather prediction
forecast correction
deep learning
artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2022.1034536/full

Internet

https://www.frontiersin.org/articles/10.3389/fenvs.2022.1034536/full

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