data1

<p>A dataset containing the power produced and other attributes of almost 47,542
records.</p>

datasets

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).

Yu Ding

DSWE

Data Science for Wind Energy

Nitesh Kumar

Abhinav Prakash

Effi Latiffianti

Ahmadreza Chokhachian

data1 function

<p>A data frame with 47,542 rows and 7 variables</p>

Format

Wind Energy data set containing 47,542 data points — data1

Wind Energy data set containing 47,542 data points

data1: Wind Energy data set containing 47,542 data points

Description

Usage

Arguments

Format

Details