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A genetic algorithm-based ensemble framework for wind speed forecasting

Abstract Wind energy has gained significant attention as a clean, renewable resource due to fossil fuels’ environmental impact. Accurate wind speed forecasting is essential to address variability and intermittency challenges. Current forecasting difficulties arise from wind speed’s high susceptibili...

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Furkejuvvon:
Váldodahkkit: Tathiana Mikamura Barchi, João Lucas Ferreira dos Santos, Thiago Antonini Alves, Paulo S. G. de Mattos Neto, Sergio Luiz Stevan, Fernanda Cristina Corrêa, Marie Chantelle C. Medina, Hugo Valadares Siqueira, João Fausto L. de Oliveira
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: Nature Portfolio 2026-01-01
Ráidu:Scientific Reports
Fáttát:
Wind speed prediction
Box & Jenkins methods
Artificial neural networks
Hybrid models
Ensembles
Genetic algorithm
Liŋkkat:https://doi.org/10.1038/s41598-026-37003-1
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