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Supervised machine learning in wind forecasting and ramp event prediction /

"[A]n up to date overview of the broad area of wind generation and forecasting, with a focus on the role and need of Machine Learning in this emerging field of knowledge. Various regression models and signal decomposition techniques are presented and analyzed, including least-square, twin suppo...

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Dhiman, Harsh S. (Auteur), Deb, Dipankar (Auteur), Balas, Valentina Emilia (Auteur)
Format: Électronique eBook
Langue:Inglés
Publié: London, United Kingdom : Academic Press, 2020.
Collection:Wind energy engineering series.
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