Data Science for Wind Energy

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 optim...

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Detalles Bibliográficos
Autor principal: Yu Ding
Formato: Libro
Publicado: Chapman and Hall/CRC 2020
Acceso en línea:Ver este registro en EBSCOhost