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Data Science for Wind Energy Ding, Yu (Texas A&M University, USA) 1st edition
Data Science for Wind Energy
Ding, Yu (Texas A&M University, USA)
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.
400 pages
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | December 18, 2020 |
| ISBN13 | 9780367729097 |
| Publishers | Taylor & Francis Ltd |
| Pages | 424 |
| Dimensions | 156 × 233 × 27 mm · 636 g |
| Language | English |
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