Supervised Machine Learning in Wind Forecasting and Ramp Even... - 9780128213537

Supervised Machine Learning in Wind Forecasting and Ramp Event PredictionAuthor(s): Harsh S. Dhiman, Dipankar Deb, Valentina Emilia Balas\nFormat: Paperback\nPublisher: Elsevier Science Publishing Co Inc, United States\nImprint: Academic Press Inc\nISBN-13: 9780128213537, 978-0128213537\nSynopsis\nSupervised 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.\n\nWind speed forecasting has become an essential component to ensure power system security, reliability and safe operatio.