Data Science Wind Energy by Ding (36 results)

Language: English

Published by Chapman and Hall/CRC, 2020

Softcover

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paperback. Condition: Very Good. As pictured. Very light edge wear. No marks throughout. Carefully packed and promptly shipped.

Data Science for Wind Energy

Language: English

Published by CRC Press, 2020

Softcover

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Paperback. Condition: Very Good. Book cover shows faint rubbing and one light crease to bottom edge, otherwise looks largely clean, bright, and sharp. One small stain to bottom of textblock. Strong, square binding, pages are clean and bright. Overall a sharp copy with interior in excellent shape.

Data Science for Wind Energy

Language: English

Published by Chapman and Hall/CRC, 2020

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Data Science for Wind Energy

Language: English

Published by Chapman and Hall/CRC, 2020

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Data Science for Wind Energy

Language: English

Published by Chapman and Hall/CRC, 2020

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Data Science for Wind Energy

Language: English

Published by Chapman and Hall/CRC, 2020

Softcover

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Data Science for Wind Energy

Language: English

Published by Chapman and Hall/CRC, 2020

Softcover

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Data Science for Wind Energy

Language: English

Published by Taylor & Francis Ltd, 2020

Softcover

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Data Science for Wind Energy

Language: English

Published by Chapman and Hall/CRC, 2020

Softcover

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Data Science for Wind Energy

Language: English

Published by Chapman and Hall/CRC, 2020

Softcover

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Data Science for Wind Energy

Language: English

Published by Routledge 2020-12-18, 2020

Softcover

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Data Science for Wind Energy

Language: English

Published by Chapman and Hall/CRC, 2020

Softcover

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Data Science for Wind Energy

Language: English

Published by Chapman and Hall/CRC, 2020

Softcover

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Data Science for Wind Energy

Language: English

Published by Chapman & Hall, 2020

Softcover

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Data Science for Wind Energy

Language: English

Published by Chapman and Hall/CRC, 2020

Softcover

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Data Science for Wind Energy

Language: English

Published by Routledge, 2020

Softcover

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Data Science for Wind Energy

Language: English

Published by Chapman and Hall/CRC, 2019

Hardcover

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Data Science for Wind Energy

Language: English

Published by Chapman and Hall/CRC, 2019

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Data Science for Wind Energy

Language: English

Published by Chapman and Hall/CRC, 2019

Hardcover

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Data Science For Wind Energy

Language: English

Published by Taylor & Francis Group, 2019

Hardcover

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Data Science for Wind Energy

Language: English

Published by Chapman and Hall/CRC, 2019

Hardcover

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Data Science for Wind Energy

Language: English

Published by Taylor & Francis Ltd, 2019

Hardcover

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Data Science For Wind Energy

Language: English

Published by Taylor & Francis Group, 2019

Hardcover

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Data Science for Wind Energy (Hardcover)

Language: English

Published by Taylor & Francis Ltd, London, 2019

Hardcover

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Hardcover. Condition: new. Hardcover. Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy applications, near-ground wind field analysis and forecast, turbine power curve fitting and performance analysis, turbine reliability assessment, and maintenance optimization for wind turbines and wind farms. A broad set of data science methods covered, including time series models, spatio-temporal analysis, kernel regression, decision trees, kNN, splines, Bayesian inference, and importance sampling. More importantly, the data science methods are described in the context of wind energy applications, with specific wind energy examples and case studies. Please also visit the authors book site at FeaturesProvides an integral treatment of data science methods and wind energy applicationsIncludes specific demonstration of particular data science methods and their use in the context of addressing wind energy needsPresents real data, case studies and computer codes from wind energy research and industrial practiceCovers material based on the author's ten plus years of academic research and insights This book shows how data science methods can improve decision making for wind energy applications. A broad set of data science methods will be covered, and the data science methods will be described in the context of wind energy applications, with specific wind energy examples and case studies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Data Science For Wind Energy

Language: English

Published by Taylor & Francis Group, 2019

Hardcover

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Data Science for Wind Energy

Language: English

Published by Taylor & Francis Ltd, 2019

Hardcover
First Edition

Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.

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Yu Ding (Texas A&M University, USA)

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Condition: New. 2019. 1st Edition. Hardcover. . . . . .

Ding, Y: Data Science for Wind Energy

Language: English

Published by CRC Press, 2019

Hardcover

Seller: moluna, Greven, Germanymoluna

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Gebunden. Condition: New. Yu Ding is the Mike and Sugar Barnes Professor of Industrial and Systems Engineering and Professor of Electrical and Computer Engineering at Texas A&ampM University, and a Fellow of the Institute of Industrial &amp Systems Engineers an.

Data Science for Wind Energy

Language: English

Published by Chapman and Hall/CRC, 2019

Hardcover

Seller: Mispah books, Redhill, SURRE, United KingdomMispah books

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Data Science for Wind Energy

Language: English

Published by Chapman & Hall, 2019

Hardcover

Seller: Revaluation Books, Exeter, United KingdomRevaluation Books

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Hardcover. Condition: Brand New. 400 pages. 9.25x6.25x1.00 inches. In Stock.

Data Science for Wind Energy

Language: English

Published by Taylor & Francis Ltd, 2019

Hardcover

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