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.

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction (Volume 1) (Wind Energy Engineering, Volume 1)

Science & Math

Deb, Dipankar

Dhiman, Harsh S.

Emilia Balas PhD, Valentina

Environment

Academic Press

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Books by Dhiman, Harsh S.

See the best price to sell, buy, or rent books by Dhiman, Harsh S.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction (Volume 1) (Wind Energy Engineering, Volume 1)