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(Ebook) Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction by Harsh S. Dhiman, Dipankar Deb, Valentina Emilia Balas ISBN 9780128213537, 0128213531

  • SKU: EBN-11005946
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Authors:Harsh S. Dhiman, Dipankar Deb, Valentina Emilia Balas
Pages:216 pages.
Year:2020
Editon:1
Publisher:Academic Press
Language:english
File Size:9.17 MB
Format:pdf
ISBNS:9780128213537, 0128213531
Categories: Ebooks

Product desciption

(Ebook) Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction by Harsh S. Dhiman, Dipankar Deb, Valentina Emilia Balas ISBN 9780128213537, 0128213531

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction provides an up-to- date overview on 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 support and random forest regression, all with supervised Machine Learning. The specific topics of ramp event prediction and wake interactions are addressed in this book, along with forecasted performance.

Wind speed forecasting has become an essential component to ensure power system security, reliability and safe operation, making this reference useful for all researchers and professionals researching renewable energy, wind energy forecasting and generation.

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