CRAN/E | DSWE

DSWE

Data Science for Wind Energy

Installation

About

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).

github.com/TAMU-AML/DSWE-Package
aml.engr.tamu.edu/book-dswe/
Bug report File report

Key Metrics

Version 1.8.2
R ≥ 3.5.0
Published 2024-02-17 63 days ago
Needs compilation? yes
License MIT
License File
CRAN checks DSWE results

Downloads

Yesterday 11 0%
Last 7 days 54 +20%
Last 30 days 269 -30%
Last 90 days 1.264 +69%
Last 365 days 3.585 -5%

Maintainer

Maintainer

Yu Ding

yuding2007@gmail.com

Authors

Nitesh Kumar

aut

Abhinav Prakash

aut

Yu Ding

aut / cre

Effi Latiffianti

ctb / cph

Ahmadreza Chokhachian

ctb / cph

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

DSWE archive

Depends

R ≥ 3.5.0

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