Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction

Name: Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
Brand: Elsevier Science Publishing Co Inc
SKU: 9780128213537
Price: 17650 KES
Availability: OutOfStock
ISBN: 9780128213537

by Dipankar Deb , Harsh S. Dhiman , Valentina Emilia Balas

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 and renewable energy sources and technology Alternative & renewable energy sources & technology

KSh 17,650.00

Currently unavailable 0 in stock

Delivery Location

County

Location

Delivery fee: Select location

Secure

Quality

Fast

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.

Get Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction by Dipankar Deb, Harsh S. Dhiman at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Elsevier Science Publishing Co Inc and it has 216 pages.