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: |
1.8.4 |
| 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: |
2025-10-11 |
| 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 |
Documentation:
Downloads:
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