Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
  • Release Date : 21 January 2020
  • Publisher : Academic Press
  • Genre : Science
  • Pages : 216 pages
  • ISBN 13 : 9780128213674
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Download or read book entitled Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction by author: Harsh S. Dhiman which was release on 21 January 2020 and published by Academic Press with total page 216 pages . This book available in PDF, EPUB and Kindle Format. 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. Features various supervised machine learning based regression models Offers global case studies for turbine wind farm layouts Includes state-of-the-art models and methodologies in wind forecasting

Soft Computing Applications

Soft Computing Applications

Author : Valentina Emilia Balas,Lakhmi C. Jain,Marius Mircea Balas,Shahnaz N. Shahbazova
Publisher : Springer Nature
Genre : Technology & Engineering
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