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Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by Elsevier Science Publishing Co Inc, 2020
ISBN 10: 0128213531 ISBN 13: 9780128213537
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Add to basketKartoniert / Broschiert. Condition: New. 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 forecastingAutor/Autorin: H.
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Add to basketPaperback. Condition: Brand New. 191 pages. 8.75x6.00x0.75 inches. In Stock. This item is printed on demand.
Language: English
Published by Elsevier Science & Technology, Academic Press, 2020
ISBN 10: 0128213531 ISBN 13: 9780128213537
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. Englisch.
Language: English
Published by Elsevier Science Publishing Co Inc, 2020
ISBN 10: 0128213531 ISBN 13: 9780128213537
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Language: English
Published by Elsevier Science & Technology, Academic Press, 2020
ISBN 10: 0128213531 ISBN 13: 9780128213537
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.