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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Idioma: Inglés
Publicado por Elsevier Science Publishing Co Inc, 2020
ISBN 10: 0128213531 ISBN 13: 9780128213537
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Librería: preigu, Osnabrück, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction | Harsh S. Dhiman (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Academic Press | EAN 9780128213537 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Añadir al carritoKartoniert / Broschiert. Condición: 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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Añadir al carritoPaperback. Condición: Brand New. 191 pages. 8.75x6.00x0.75 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Elsevier Science & Technology, Academic Press, 2020
ISBN 10: 0128213531 ISBN 13: 9780128213537
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Añadir al carritoTaschenbuch. Condición: 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.
Idioma: Inglés
Publicado por Elsevier Science Publishing Co Inc, 2020
ISBN 10: 0128213531 ISBN 13: 9780128213537
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 165,27
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Idioma: Inglés
Publicado por Elsevier Science & Technology, Academic Press, 2020
ISBN 10: 0128213531 ISBN 13: 9780128213537
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 121,64
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Añadir al carritoTaschenbuch. Condición: 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.