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 Title: Data Science for Wind Energy
 Author(s) Yu Ding
 Publisher: Routledge; 1st edition (December 18, 2020); eBook (Creative Commons Licensed)
 License(s): Creative Commons License (CC)
 Hardcover/Paperback: 424 pages
 eBook: PDF and Read Online
 Language: English
 ISBN10/ASIN: 0367729091
 ISBN13: 9780367729097
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Book Description
This book provides an indepth discussion on how data science methods can improve decision making for wind energy applications, nearground wind field analysis and forecast, turbine power curve fitting and performance analysis, turbine reliability assessment, and maintenance optimization for wind turbines and wind farms.
About the Authors Dr. Yu Ding is the AndersonInterface Chair and Professor in the H. Milton School of Industrial and Systems Engineering at Georgia Tech.
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