Wind speed and power forecasting using Bayesian optimized machine learning models in Gabal Al-Zayt, Egypt

Wind speed and power forecasting using Bayesian optimized machine learning models in Gabal Al-Zayt, Egypt

Abstract Accurate wind speed and power forecasts are essential for applications involving renewable wind energy. Ten machine learning techniques, including single and ensemble models, are compared, and evaluated in this study over a range of time scales. The outcomes of the wind speed prediction (WS...

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Bibliographic Details
Main Authors: Nehal Elshaboury, Haytham Elmousalami
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Ensemble machine learning
Bayesian optimization
Wind speed prediction
Wind power prediction
Developing countries
Online Access:https://doi.org/10.1038/s41598-025-13140-x
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