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).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.8.4 |
rolling source/ R- | DSWE_1.8.4.tar.gz |
2.4 MiB |
1.8.4 |
latest source/ R- | DSWE_1.8.4.tar.gz |
2.4 MiB |
1.8.4 |
2026-04-09 windows/windows R-4.5 | DSWE_1.8.4.zip |
3.3 MiB |
Dependencies (latest)
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)