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kernplus: A Kernel Regression-Based Multidimensional Wind Turbine Power Curve

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

Documentation:

Reference manual: kernplus.pdf

Downloads:

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

Linking:

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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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