Machine Learning-Based Analysis of Potential Power Gain from
Passive Device Installation on Wind Turbine Generators
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Documentation for package ‘gainML’ version 0.1.0
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 |