Question 1

What does the R-package 'gainML' do?

Accepted Answer

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) [doi:10.48550/arXiv.1906.05776](https://doi.org/10.48550/arXiv.1906.05776).

Question 2

Who maintains gainML?

Accepted Answer

Hoon Hwangbo

Question 3

Who authored gainML?

Accepted Answer

Yu Ding, Daniel Cabezon, Texas A&M University, EDP Renewables

Question 4

What is the current version of gainML?

Accepted Answer

The current version of the R-package '0.1.0' is 0.1.0

Question 5

When was the last release of gainML?

Accepted Answer

The last release of the R-package '0.1.0' was 06/28/2019

Question 6

Where can I search for the R-package 'gainML'?

Accepted Answer

You can search for the R-package 'gainML' on CRAN/E at https://cran-e.com

gainML

Documentation

Team

Hoon Hwangbo

Yu Ding

Daniel Cabezon

Texas A&M University

EDP Renewables

Insights

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