Data Science for Wind Energy
Description
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) ,
AMK() - Lee et al. (2015) ,
tempGP() - Prakash et al. (2022) ,
ComparePCurve() - Ding et al. (2021) ,
deltaEnergy() - Latiffianti et al. (2022) ,
syncSize() - Latiffianti et al. (2022) ,
imptPower() - Latiffianti et al. (2022) ,
All other functions - Ding (2019, ISBN:9780429956508).