Data Science for Wind Energy
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"This is the first book that focuses on the data science methodologies and their applications in a growing field, wind energy. It is well-organized and well-written. It will enhance the knowledge base of data science and its applications in the wind energy field."
-- Elsayed A. Elsayed, Professor, Rutgers University
»
Data Science for Wind Energy 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. Les mer
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Detaljer
- Forlag
- Chapman & Hall/CRC
- Språk
- Engelsk
- ISBN
- 9780429956508
- Utgivelsesår
- 2019
Anmeldelser
«
"This is the first book that focuses on the data science methodologies and their applications in a growing field, wind energy. It is well-organized and well-written. It will enhance the knowledge base of data science and its applications in the wind energy field."
-- Elsayed A. Elsayed, Professor, Rutgers University
»