Machine Learning-Based Analysis of Potential Power Gain from Passive Device Installation on Wind Turbine Generators
Analyze Potential Gain from Passive Device Installation on WTGs by Usi...
Apply Period 1 Analysis
Apply Period 2 Analysis
Split, Merge, and Filter Given Datasets for the Subsequent Analysis
Construct a Confidence Interval of the Gain Estimate
Quantify Gain Based on Period 1 and Period 2 Prediction
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) <arXiv:1906.05776>.