Description: 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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EAN: 9780128213537
UPC: 9780128213537
ISBN: 9780128213537
MPN: N/A
Book Title: Supervised Machine Learning in Wind Forecasting an
Item Length: 22.9 cm
Subject Area: Educational Technology
Item Height: 229 mm
Item Width: 152 mm
Author: Harsh S. Dhiman, Valentina E. Balas, Dipankar Deb
Publication Name: Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
Format: Paperback
Language: English
Publisher: Elsevier Science Publishing Co Inc
Publication Year: 2020
Type: Textbook
Item Weight: 290 g
Number of Pages: 216 Pages
