Data Science for Wind Energy

Summary

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.

Product details

• Authors: Yu Ding, Yu (Texas A&m University Ding
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 24.05.2019
• EAN: 9781138590526
• ISBN: 978-1-138-59052-6
• No. of pages: 400
• Subjects: Natural sciences, medicine, IT, technology > Technology > Heat, energy and power station engineering; Data Mining, Artificial Intelligence, COMPUTERS / General, BUSINESS & ECONOMICS / Statistics, COMPUTERS / Programming / Games, computer science, Probability & statistics, Alternative & renewable energy sources & technology, Databases, Alternative and renewable energy sources and technology, COMPUTERS / Data Science / Data Analytics