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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 |
| DOI: | 10.32614/CRAN.package.DSWE |
| 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 |
| Reference manual: | DSWE.pdf |
| 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 |
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These binaries (installable software) and packages are in development.
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