The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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:

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.