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

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

## Documentation for package ‘gainML’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

analyze.gain | Analyze Potential Gain from Passive Device Installation on WTGs by Using a Machine Learning-Based Tool
analyze.p1 | Apply Period 1 Analysis
analyze.p2 | Apply Period 2 Analysis
arrange.data | Split, Merge, and Filter Given Datasets for the Subsequent Analysis
bootstrap.gain | Construct a Confidence Interval of the Gain Estimate
pw.freq | Long-Term Frequency of Power Output
quantify.gain | Quantify Gain Based on Period 1 and Period 2 Prediction
wtg | Wind turbine operational data