Estimation of wind speed prediction intervals by multi-objective genetic algorithms and neural networks

Abstract : Wind speed forecasting is a fundamental task in wind power production management. In the present work, a multi-objective genetic algorithm (MOGA) is employed to train an artificial neural network (ANN) for short-term forecasting of wind speed prediction intervals.
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Conference papers
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https://hal-supelec.archives-ouvertes.fr/hal-00703735
Contributor : Yanfu Li <>
Submitted on : Tuesday, June 5, 2012 - 4:49:17 PM
Last modification on : Tuesday, May 8, 2018 - 10:30:13 AM

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  • HAL Id : hal-00703735, version 1

Citation

Ronay Ak, Yan-Fu Li, Valeria Vitelli, Enrico Zio. Estimation of wind speed prediction intervals by multi-objective genetic algorithms and neural networks. 46th Scientific Meeting of the Italian Statistical Society, Jun 2012, Rome, Italy. pp.1-4. ⟨hal-00703735⟩

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