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]

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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'))

Peer review:

Datasets:
  • windpw - Wind turbine operational data

On CRAN:

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

1 exports 0.00 score 78 dependencies 2 scripts 155 downloads

Last updated 6 years agofrom:71c6ffde03. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-winOKSep 04 2024
R-4.5-linuxOKSep 04 2024
R-4.4-winOKSep 04 2024
R-4.4-macOKSep 04 2024
R-4.3-winOKSep 04 2024
R-4.3-macOKSep 04 2024

Exports:kp.pwcurv

Dependencies:askpassbase64encbootbslibcachemcircularclicolorspacecpp11crosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonlitekernlabKernSmoothknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimemixtoolsmunsellmvtnormnlmeopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalessegmentedstringistringrsurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml