Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
Book Details
Format
Paperback / Softback
Book Series
Wind Energy Engineering
ISBN-10
0128213531
ISBN-13
9780128213537
Publisher
Elsevier Science Publishing Co Inc
Imprint
Academic Press Inc
Country of Manufacture
NL
Country of Publication
GB
Publication Date
Jan 31st, 2020
Print length
216 Pages
Weight
370 grams
Dimensions
15.30 x 22.90 x 1.30 cms
Product Classification:
Alternative & renewable energy sources & technology
Ksh 17,250.00
Manufactured on Demand
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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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