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DSWE

An R implementation of various data science methods for wind energy (DSWE) applications, such as providing machine learning methods to accurately estimate the wind power curve.
https://github.com/tamu-aml/dswe-package

Category: Renewable Energy
Sub Category: Wind Energy

Last synced: about 20 hours ago
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Repository metadata

An R implementation of some of the data science methods for wind energy (DSWE) applications.

README.md

Tutorial and examples

A tutorial for the package is available on zenodo at this link

Installation

For versions 1.5.1 and above (through CRAN):

install.packages("DSWE")

Note: The package contains C++ code, hence installation using source requires C++ compilers: Rtools for Windows, Apple Command Line Tools and GFortran for Mac OS. The pre-compiled binaries available through CRAN, the offical package repository for R, do not require C++ compilers.

For versions prior to 1.5.1:

Install using the remotes package by specify the version (for example, version 1.3.1) as follows:

remotes::install_github("TAMU-AML/[email protected]")

Owner metadata


GitHub Events

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Last Year

Committers metadata

Last synced: 6 days ago

Total Commits: 452
Total Committers: 8
Avg Commits per committer: 56.5
Development Distribution Score (DDS): 0.538

Commits in past year: 27
Committers in past year: 3
Avg Commits per committer in past year: 9.0
Development Distribution Score (DDS) in past year: 0.556

Name Email Commits
Nitesh Kumar n****r@t****u 209
Abhinav Prakash a****p@t****u 173
Abhinav Prakash a****d@g****m 30
Ahmadreza Chokhachian a****n@g****m 12
Abhinav Prakash a****h@a****m 9
Abhinav Prakash a****p@a****m 7
Effi Latiffianti l****i@t****u 6
Effi Latiffianti 6****i 6

Committer domains:


Issue and Pull Request metadata

Last synced: 2 days ago

Total issues: 1
Total pull requests: 23
Average time to close issues: 2 days
Average time to close pull requests: about 4 hours
Total issue authors: 1
Total pull request authors: 5
Average comments per issue: 2.0
Average comments per pull request: 0.04
Merged pull request: 21
Bot issues: 0
Bot pull requests: 0

Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/tamu-aml/dswe-package

Top Issue Authors

  • starxn (1)

Top Pull Request Authors

  • aprakashx (12)
  • nitesh-1507 (5)
  • AhmadChokhachian (3)
  • abhinavpx (2)
  • abhinavprakash89 (1)

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Package metadata

cran.r-project.org: DSWE

Data Science for Wind Energy

  • Homepage: https://github.com/TAMU-AML/DSWE-Package
  • Documentation: http://cran.r-project.org/web/packages/DSWE/DSWE.pdf
  • Licenses: MIT + file LICENSE
  • Latest release: 1.8.2 (published about 1 year ago)
  • Last Synced: 2025-04-26T12:32:28.617Z (2 days ago)
  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 238 Last month
  • Rankings:
    • Forks count: 14.856%
    • Stargazers count: 17.865%
    • Average: 28.485%
    • Dependent packages count: 29.797%
    • Dependent repos count: 35.455%
    • Downloads: 44.453%
  • Maintainers (1)

Dependencies

DESCRIPTION cran
  • R >= 3.5.0 depends
  • BayesTree >= 0.3 imports
  • FNN >= 1.1.3 imports
  • KernSmooth >= 2.23 imports
  • Rcpp >= 1.0.4.6 imports
  • dplyr >= 1.0.9 imports
  • e1071 >= 1.7 imports
  • gss >= 2.2 imports
  • matrixStats >= 0.55.0 imports
  • mixtools >= 1.1.0 imports
  • stats >= 3.5.0 imports

Score: 9.858490186605392