Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction is popular PDF and ePub book, written by Harsh S. Dhiman in 2020-01-20, it is a fantastic choice for those who relish reading online the Machine learning genre. Let's immerse ourselves in this engaging Machine learning book by exploring the summary and details provided below. Remember, Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction can be Read Online from any device for your convenience.
Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction Book PDF Summary
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
Detail Book of Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction PDF
- Author : Harsh S. Dhiman
- Release : 20 January 2020
- Publisher : Academic Press
- ISBN : 9780128213537
- Genre : Machine learning
- Total Page : 216 pages
- Language : English
- PDF File Size : 17,5 Mb
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