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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Bibliographic Details
Main Authors: Dhiman, Harsh S. (Author), Deb, Dipankar (Author), Balas, Valentina Emilia (Author)
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: London, United Kingdom : Academic Press, 2020.
Series:Wind energy engineering series.
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Call Number: QC931
 
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