Machine Learning-Based Analysis of Potential Power Gain from Passive Device Installation on Wind Turbine Generators

Provides an effective machine learning-based tool that quantifies the gain of passive device installation on wind turbine generators. H. Hwangbo, Y. Ding, and D. Cabezon (2019) .


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("gainML")

0.1.0 by Hoon Hwangbo, 5 months ago


Browse source code at https://github.com/cran/gainML


Authors: Hoon Hwangbo [aut, cre] , Yu Ding [aut] , Daniel Cabezon [aut] , Texas A&M University [cph] , EDP Renewables [cph]


Documentation:   PDF Manual  


GPL-3 license


Imports fields, FNN, utils, stats

Suggests knitr, rmarkdown


See at CRAN