Package: DSWE
Title: Data Science for Wind Energy
Version: 1.8.2
Authors@R: c(
    person(given = "Nitesh", family = "Kumar", role = c("aut"), email = "nkumar.tamu@gmail.com"),
    person(given = "Abhinav", family = "Prakash", role = c("aut"), email = "aprakashphd@gmail.com"),
    person(given = "Yu", family = "Ding", role = c("aut","cre"), email = "yuding2007@gmail.com"),
    person(given = "Effi", family = "Latiffianti", role = c("ctb","cph"), email = "latiffianti@gmail.com"),
    person(given = "Ahmadreza", family = "Chokhachian", role = c("ctb","cph"), email = "ar.chokhachian@gmail.com"))
Description: Data science methods used in wind energy applications. 
              Current functionalities include creating a multi-dimensional power curve model, 
              performing power curve function comparison, covariate matching, and energy decomposition. 
              Relevant works for the developed functions are: 
              funGP() - Prakash et al. (2022) <doi:10.1080/00401706.2021.1905073>, 
              AMK() - Lee et al. (2015) <doi:10.1080/01621459.2014.977385>, 
              tempGP() - Prakash et al. (2022) <doi:10.1080/00401706.2022.2069158>, 
              ComparePCurve() - Ding et al. (2021) <doi:10.1016/j.renene.2021.02.136>,
              deltaEnergy() - Latiffianti et al. (2022) <doi:10.1002/we.2722>,
              syncSize() - Latiffianti et al. (2022) <doi:10.1002/we.2722>,
              imptPower() - Latiffianti et al. (2022) <doi:10.1002/we.2722>,
              All other functions - Ding (2019, ISBN:9780429956508).
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
URL: https://github.com/TAMU-AML/DSWE-Package,
        https://aml.engr.tamu.edu/book-dswe/
BugReports: https://github.com/TAMU-AML/DSWE-Package/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
LinkingTo: Rcpp (>= 1.0.4.6) , RcppArmadillo (>= 0.9.870.2.0)
Imports: Rcpp (>= 1.0.4.6) , matrixStats (>= 0.55.0) , FNN (>= 1.1.3) ,
        KernSmooth (>= 2.23-16) , mixtools (>= 1.1.0), gss (>= 2.2-2),
        e1071 (>= 1.7-3), stats (>= 3.5.0), dplyr (>= 1.0.9), xgboost
        (>= 1.7.7.1)
NeedsCompilation: yes
Packaged: 2024-02-15 11:31:00 UTC; 19797
Author: Nitesh Kumar [aut],
  Abhinav Prakash [aut],
  Yu Ding [aut, cre],
  Effi Latiffianti [ctb, cph],
  Ahmadreza Chokhachian [ctb, cph]
Maintainer: Yu Ding <yuding2007@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-17 15:40:02 UTC
Built: R 4.3.3; x86_64-w64-mingw32; 2025-04-07 03:00:40 UTC; windows
Archs: x64
