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kernplus  

A Kernel Regression-Based Multidimensional Wind Turbine Power Curve
View on CRAN: Click here


Download and install kernplus package within the R console
Install from CRAN:
install.packages("kernplus")

Install from Github:
library("remotes")
install_github("cran/kernplus")

Install by package version:
library("remotes")
install_version("kernplus", "0.1.2")



Attach the package and use:
library("kernplus")
Maintained by
Hoon Hwangbo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-08
Latest Update: 2019-02-24
Description:
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.
How to cite:
Hoon Hwangbo (2017). kernplus: A Kernel Regression-Based Multidimensional Wind Turbine Power Curve. R package version 0.1.2, https://cran.r-project.org/web/packages/kernplus. Accessed 21 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:51), 0.1.0 (2017-06-08 00:05), 0.1.1 (2018-04-05 23:47), 0.1.2 (2019-02-24 22:50)
Other packages that cited kernplus R package
View kernplus citation profile
Other R packages that kernplus depends, imports, suggests or enhances
Complete documentation for kernplus
Functions, R codes and Examples using the kernplus R package
Some associated functions: kp.pwcurv . windpw . 
Some associated R codes: add_noise.R . copyright.R . ctrl_seed.R . data.R . div_regions.R . est_bandwidth.R . fit_kernels.R . pred_pwcurv.R .  Full kernplus package functions and examples
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