Package: kernplus
Version: 0.1.2
Date: 2019-02-25
Type: Package
Title: A Kernel Regression-Based Multidimensional Wind Turbine Power
        Curve
Authors@R: c(
  person("Yu", "Ding", email = "yuding@tamu.edu", role = c("aut")),
  person("Hoon", "Hwangbo", email = "hhwangb1@utk.edu", role = c("aut","cre")))
Author: Yu Ding [aut],
  Hoon Hwangbo [aut, cre]
Maintainer: Hoon Hwangbo <hhwangb1@utk.edu>
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.
Depends: R (>= 3.3.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: circular (>= 0.4-7), KernSmooth (>= 2.23-15), mixtools (>=
        1.1.0), graphics (>= 3.3.0), stats (>= 3.3.0)
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-02-24 20:12:07 UTC; User
Repository: CRAN
Date/Publication: 2019-02-24 21:50:06 UTC
Built: R 4.6.0; ; 2026-04-26 19:18:25 UTC; unix
