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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 |
DOI: | 10.32614/CRAN.package.kernplus |
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 |
Please use the canonical form https://CRAN.R-project.org/package=kernplus to link to this page.
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.