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) , AMK() - Lee et al. (2015) , tempGP() - Prakash et al. (2020) , ComparePCurve() - Ding et al. (2020) , All other functions - Ding (2019, ISBN:9780429956508).


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install.packages("DSWE")

1.5.1 by Yu Ding, 11 days ago


https://github.com/TAMU-AML/DSWE-Package, https://aml.engr.tamu.edu/book-dswe/


Report a bug at https://github.com/TAMU-AML/DSWE-Package/issues


Browse source code at https://github.com/cran/DSWE


Authors: Nitesh Kumar [aut] , Abhinav Prakash [aut] , Yu Ding [aut, cre] , Rui Tuo [ctb, cph]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports Rcpp, matrixStats, FNN, KernSmooth, mixtools, BayesTree, gss, e1071, stats

Linking to Rcpp, RcppArmadillo


See at CRAN