• 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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Book Description

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.

• Dr. Yu Ding is the Anderson-Interface Chair and Professor in the H. Milton School of Industrial and Systems Engineering at Georgia Tech.

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