Probabilistic prediction intervals of short-term wind speed using selected features and time shift dependent machine learning models

Probabilistic prediction intervals of short-term wind speed using selected features and time shift dependent machine learning models

Forecasting wind speed plays an increasingly essential role in the wind energy industry. However, wind speed is uncertain with high changeability and dependency on weather conditions. Variability of wind energy is directly influenced by the fluctuation and unpredictability of wind speed. Traditional...

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Bibliographic Details
Main Authors: Rami Al-Hajj, Gholamreza Oskrochi, Mohamad M. Fouad, Ali Assi
Format: Article
Language:English
Published: AIMS Press 2025-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
wind speed forecasting
wind energy
features selection
support vector regressors
prediction intervals
probabilistic energy forecasting
kernel density estimator.
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2025002
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https://www.aimspress.com/article/doi/10.3934/mbe.2025002

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