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Data Science for Wind Energy
Af: Yu Ding
Engelsk
Bogcover for Data Science for Wind Energy af Yu Ding, 9780367729097
Specifikationer
Sprog:
Engelsk
Sider:
424
ISBN-13:
9780367729097
Indbinding:
Paperback
ISBN-10:
0367729091
Udg. Dato:
18 dec 2020
Størrelse i cm:
23,3 x 15,6 x 2,7
Oplagsdato:
18 dec 2020
Forfatter(e):

Data Science for Wind Energy

Af: Yu Ding
Engelsk
Format:

Bog beskrivelse

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 author’s book site at https://aml.engr.tamu.edu/book-dswe.

Features

    • Provides an integral treatment of data science methods and wind energy applications

    • Includes specific demonstration of particular data science methods and their use in the context of addressing wind energy needs

    • Presents real data, case studies and computer codes from wind energy research and industrial practice

    • Covers material based on the author''s ten plus years of academic research and insights

The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons (CC) 4.0 license.

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Specifikationer
Sprog:
Engelsk
Sider:
424
ISBN-13:
9780367729097
Indbinding:
Paperback
ISBN-10:
0367729091
Udg. Dato:
18 dec 2020
Størrelse i cm:
23,3 x 15,6 x 2,7
Oplagsdato:
18 dec 2020
Forfatter(e):
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