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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
- ISBN-10/ASIN: 0367729091
- ISBN-13: 978-0367729097
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This book 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.
About the Authors- Dr. Yu Ding is the Anderson-Interface Chair and Professor in the H. Milton School of Industrial and Systems Engineering at Georgia Tech.
- Data Science and Data Engineering
- Financial Mathematics, Financial Engineering, etc.
- Data Analysis and Data Mining, Big Data
- Statistics, Mathematical Statistics, and SAS Programming
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