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Provides wind energy practitioners with an effective machine learning-based tool that estimates a multivariate power curve and predicts the wind power output for a specific environmental condition.
| Version: | 0.1.2 |
| Depends: | R (≥ 3.3.0) |
| Imports: | circular (≥ 0.4-7), KernSmooth (≥ 2.23-15), mixtools (≥ 1.1.0), graphics (≥ 3.3.0), stats (≥ 3.3.0) |
| Published: | 2019-02-24 |
| Author: | Yu Ding [aut], Hoon Hwangbo [aut, cre] |
| Maintainer: | Hoon Hwangbo <hhwangb1 at utk.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | kernplus results |
| Reference manual: | kernplus.pdf |
| Package source: | kernplus_0.1.2.tar.gz |
| Windows binaries: | r-devel: kernplus_0.1.2.zip, r-release: kernplus_0.1.2.zip, r-oldrel: kernplus_0.1.2.zip |
| macOS binaries: | r-release (arm64): kernplus_0.1.2.tgz, r-oldrel (arm64): kernplus_0.1.2.tgz, r-release (x86_64): kernplus_0.1.2.tgz, r-oldrel (x86_64): kernplus_0.1.2.tgz |
| Old sources: | kernplus archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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