A two-stage deep learning-based hybrid model for daily wind speed forecasting

Global adoption of wind energy continues to increase, while improving the efficiency of turbine settings requires reliable wind speed (WS) models. The latest models rely on artificial intelligence (AI) optimizations which constructs tests on a range of novel hybrid models to examine the reliability....

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Bibliographic Details
Main Authors: Shahab S. Band, Rasoul Ameri, Sultan Noman Qasem, Saeid Mehdizadeh, Brij B. Gupta, Hao-Ting Pai, Danyal Shahmirzadi, Ely Salwana, Amir Mosavi
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Heliyon
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Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024170570
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