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DSWE: Data Science for Wind Energy

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).

Version: 1.8.2
Depends: R (≥ 3.5.0)
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)
LinkingTo: Rcpp (≥ 1.0.4.6) , RcppArmadillo (≥ 0.9.870.2.0)
Published: 2024-02-17
Author: Nitesh Kumar [aut], Abhinav Prakash [aut], Yu Ding [aut, cre], Effi Latiffianti [ctb, cph], Ahmadreza Chokhachian [ctb, cph]
Maintainer: Yu Ding <yuding2007 at gmail.com>
BugReports: https://github.com/TAMU-AML/DSWE-Package/issues
License: MIT + file LICENSE
URL: https://github.com/TAMU-AML/DSWE-Package, https://aml.engr.tamu.edu/book-dswe/
NeedsCompilation: yes
CRAN checks: DSWE results

Documentation:

Reference manual: DSWE.pdf

Downloads:

Package source: DSWE_1.8.2.tar.gz
Windows binaries: r-devel: DSWE_1.8.2.zip, r-release: DSWE_1.8.2.zip, r-oldrel: DSWE_1.8.2.zip
macOS binaries: r-release (arm64): DSWE_1.8.2.tgz, r-oldrel (arm64): DSWE_1.8.2.tgz, r-release (x86_64): DSWE_1.8.2.tgz, r-oldrel (x86_64): DSWE_1.8.2.tgz
Old sources: DSWE archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=DSWE to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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