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).


Reference manual

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1.5.1 by Yu Ding, a year ago,

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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