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gainML: 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) <arXiv:1906.05776>.
Getting started
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Package details |
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| Author | Hoon Hwangbo [aut, cre], Yu Ding [aut], Daniel Cabezon [aut], Texas A&M University [cph], EDP Renewables [cph] |
| Maintainer | Hoon Hwangbo <hhwangb1@utk.edu> |
| License | GPL-3 |
| Version | 0.1.0 |
| Package repository | View on CRAN |
| Installation |
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