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Supervised Machine Learning Wind by Dhiman Harsh (13 results)
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US$ 102.48
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US$ 124.83
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Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
Published by Elsevier Science Publishing Co Inc, 2020
ISBN 10: 0128213531 ISBN 13: 9780128213537
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 145.83
Convert currencyUS$ 13.08 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 290.
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Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction (Volume 1) (Wind Energy Engineering, Volume 1)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 165.72
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Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 165.71
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Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 181.75
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US$ 121.02
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Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
Published by Elsevier Science & Technology, Academic Press, 2020
ISBN 10: 0128213531 ISBN 13: 9780128213537
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 132.95
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Add to basketTaschenbuch. 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.
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US$ 132.05
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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.
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Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
Published by Elsevier Science & Technology|Academic Press, 2020
ISBN 10: 0128213531 ISBN 13: 9780128213537
Language: English
US$ 132.71
Convert currencyUS$ 57.49 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 knowle.
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Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
Published by Elsevier Science Publishing Co Inc, 2020
ISBN 10: 0128213531 ISBN 13: 9780128213537
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 194.25
Convert currencyUS$ 13.08 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 290.
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Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
Published by Elsevier Science & Technology, Academic Press, 2020
ISBN 10: 0128213531 ISBN 13: 9780128213537
Language: English
US$ 147.02
Convert currencyUS$ 72.52 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. 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.
