TulipaProfileFitting

This package fits renewable time series profiles from historical data to future target capacity factors.

https://github.com/tulipaenergy/tulipaprofilefitting.jl

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 5 DOI reference(s) in README
  • Academic publication links
    Links to: arxiv.org, zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (13.5%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

This package fits renewable time series profiles from historical data to future target capacity factors.

Basic Info
  • Host: GitHub
  • Owner: TulipaEnergy
  • License: apache-2.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 2.08 MB
Statistics
  • Stars: 1
  • Watchers: 3
  • Forks: 3
  • Open Issues: 2
  • Releases: 8
Created over 2 years ago · Last pushed 10 months ago
Metadata Files
Readme License Code of conduct Citation

README.md

TulipaProfileFitting

Stable Documentation In development documentation Build Status Test workflow status Lint workflow Status Docs workflow Status

Coverage DOI Contributor Covenant All Contributors

This package fits renewable time series profiles from historical data to future target capacity factors.

Installation

julia using Pkg Pkg.add("TulipaProfileFitting")

How to Cite

If you use TulipaProfileFitting.jl in your work, please cite using the reference given in CITATION.cff for the code and the following paper (journal, preprint) for the methodology:

bibtex @article{Tejada-Siqueira-zdemir-Morales2024, author = {Diego A. Tejada-Arango and Abel S. Siqueira and zge zdemir and Germn Morales-Espaa}, title = {TulipaProfileFitting.jl: A Julia package for fitting renewable energy time series profiles}, journal = {SoftwareX}, volume = {27}, pages = {101844}, year = {2024}, issn = {2352-7110}, doi = {https://doi.org/10.1016/j.softx.2024.101844}, }

Contributing

If you want to make contributions of any kind, please first that a look into our contributing guide directly on GitHub or the contributing page on the website.


Contributors

Abel Soares Siqueira
Abel Soares Siqueira

Diego Tejada
Diego Tejada

Germn Morales-Espaa
Germn Morales-Espaa

Lauren Clisby
Lauren Clisby

Owner

  • Name: Tulipa
  • Login: TulipaEnergy
  • Kind: organization
  • Location: Netherlands

Electricity Market and Sector-Coupling Modelling Tools from TNO

Citation (CITATION.cff)

# Go to https://citation-file-format.github.io/cff-initializer-javascript/#/ to finish this
cff-version: 1.2.0
title: TulipaProfileFitting.jl
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - orcid: 'https://orcid.org/0000-0002-6372-6197'
    given-names: German
    family-names: Morales-Espana
    email: german.morales@tno.nl
    affiliation: TNO
  - given-names: Diego A.
    orcid: 'https://orcid.org/0000-0002-3278-9283'
    affiliation: TNO
    email: diego.tejadaarango@tno.nl
    family-names: Tejada-Arango
  - given-names: Abel
    family-names: Soares Siqueira
    email: abel.siqueira@esciencecenter.nl
    affiliation: Netherlands eScience Center
    orcid: 'https://orcid.org/0000-0003-4451-281X'
repository-code: 'https://github.com/TulipaEnergy/TulipaProfileFitting.jl'
keywords:
  - renewable energy sources
  - fitting profiles
  - nonlinear programming
license: Apache-2.0

GitHub Events

Total
  • Delete event: 2
  • Issue comment event: 3
  • Push event: 11
  • Pull request event: 5
  • Pull request review event: 3
  • Create event: 1
Last Year
  • Delete event: 2
  • Issue comment event: 3
  • Push event: 11
  • Pull request event: 5
  • Pull request review event: 3
  • Create event: 1

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 23
  • Total pull requests: 31
  • Average time to close issues: 17 days
  • Average time to close pull requests: 19 days
  • Total issue authors: 4
  • Total pull request authors: 5
  • Average comments per issue: 0.65
  • Average comments per pull request: 0.39
  • Merged pull requests: 31
  • Bot issues: 0
  • Bot pull requests: 8
Past Year
  • Issues: 5
  • Pull requests: 15
  • Average time to close issues: about 17 hours
  • Average time to close pull requests: about 1 month
  • Issue authors: 1
  • Pull request authors: 4
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.33
  • Merged pull requests: 15
  • Bot issues: 0
  • Bot pull requests: 8
Top Authors
Issue Authors
  • datejada (15)
  • abelsiqueira (3)
  • clizbe (2)
  • JuliaTagBot (1)
Pull Request Authors
  • datejada (25)
  • github-actions[bot] (10)
  • dependabot[bot] (7)
  • abelsiqueira (2)
Top Labels
Issue Labels
Pull Request Labels
chore (10) dependencies (7) github_actions (1)

Packages

  • Total packages: 1
  • Total downloads:
    • julia 2 total
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 6
juliahub.com: TulipaProfileFitting

This package fits renewable time series profiles from historical data to future target capacity factors.

  • Versions: 6
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 2 Total
Rankings
Dependent repos count: 10.1%
Average: 25.3%
Dependent packages count: 40.4%
Last synced: 10 months ago

Dependencies

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.github/workflows/Lint.yml actions
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.github/workflows/TagBot.yml actions
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.github/workflows/Test.yml actions
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