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 |
Reference manual: | DSWE.pdf |
Package source: | DSWE_1.5.1.tar.gz |
Windows binaries: | r-devel: 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 |
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