Package: kernplus 0.1.2

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.

Authors:Yu Ding [aut], Hoon Hwangbo [aut, cre]

kernplus_0.1.2.tar.gz
kernplus_0.1.2.zip(r-4.7)kernplus_0.1.2.zip(r-4.6)kernplus_0.1.2.zip(r-4.5)
kernplus_0.1.2.tgz(r-4.6-any)kernplus_0.1.2.tgz(r-4.5-any)
kernplus_0.1.2.tar.gz(r-4.6-any)kernplus_0.1.2.tar.gz(r-4.5-any)
kernplus_0.1.2.tgz(r-4.5-emscripten)
kernplus.pdf |kernplus.html
kernplus/json (API)

# Install 'kernplus' in R:
install.packages('kernplus', repos = c('https://hhwangbo.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • windpw - Wind turbine operational data

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 scripts 366 downloads 1 exports 76 dependencies

Last updated from:71c6ffde03. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK136
source / vignettesOK177
linux-release-x86_64OK127
macos-release-arm64OK169
macos-oldrel-arm64OK199
windows-develOK84
windows-releaseOK77
windows-oldrelOK99
wasm-releaseOK136

Exports:kp.pwcurv

Dependencies:askpassbase64encbootbslibcachemcircularclicpp11crosstalkcurldata.tabledigestdplyrevaluatefarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonlitekernlabKernSmoothknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemimemixtoolsmvtnormnlmeopensslotelpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownS7sassscalessegmentedstringistringrsurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml