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: 0.1.0
Depends: R (≥ 3.3.0)
Imports: circular (≥ 0.4-7), graphics (≥ 3.3.0), KernSmooth (≥ 2.23-15), mixtools (≥ 1.1.0), stats (≥ 3.3.0)
Published: 2017-06-07
Author: Yu Ding [aut], Hoon Hwangbo [aut, cre]
Maintainer: Hoon Hwangbo <hhwangbo17 at gmail.com>
License: GPL-3
Copyright: Copyright (c) 2017 Y. Ding, H. Hwangbo, and Texas A&M University
NeedsCompilation: no
CRAN checks: kernplus results

Downloads:

Reference manual: kernplus.pdf
Package source: kernplus_0.1.0.tar.gz
Windows binaries: r-devel: kernplus_0.1.0.zip, r-release: kernplus_0.1.0.zip, r-oldrel: kernplus_0.1.0.zip
OS X El Capitan binaries: r-release: kernplus_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: kernplus_0.1.0.tgz

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