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, and covariate matching. Relevant works for the developed functions are: funGP() - Prakash et al. (2020) <arXiv:2003.07899>, AMK() - Lee et al. (2015) <doi:10.1080/01621459.2014.977385>, tempGP() - Prakash et al. (2020) <arXiv:2012.01349>, ComparePCurve() - Ding et al. (2020) <arXiv:2005.08652>, All other functions - Ding (2019, ISBN:9780429956508).

Version: 1.5.1
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), BayesTree (≥ 0.3-1.4), gss (≥ 2.2-2), e1071 (≥ 1.7-3), stats (≥ 3.5.0)
LinkingTo: Rcpp (≥ 1.0.4.6) , RcppArmadillo (≥ 0.9.870.2.0)
Published: 2021-01-11
Author: Nitesh Kumar [aut], Abhinav Prakash [aut], Yu Ding [aut, cre], Rui Tuo [ctb, cph]
Maintainer: Yu Ding <yuding at tamu.edu>
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

Downloads:

Reference manual: DSWE.pdf
Package source: DSWE_1.5.1.tar.gz
Windows binaries: r-devel: DSWE_1.5.1.zip, r-devel-UCRT: DSWE_1.5.1.zip, r-release: DSWE_1.5.1.zip, r-oldrel: DSWE_1.5.1.zip
macOS binaries: r-release: DSWE_1.5.1.tgz, r-oldrel: DSWE_1.5.1.tgz

Linking:

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