Supervised Machine Learning In Wind Forecasting And Ramp Event Prediction

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction provides an upto 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 leastsquare twin support and random forest regression all with supervised Machine Learning. The specific topics of ramp event prediction and wake int