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data-science-for-esm

https://github.com/fneum/data-science-for-esm

Science Score: 36.0%

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

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    1 of 5 committers (20.0%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (12.5%) to scientific vocabulary

Keywords

data-science energy energy-data energy-system-modelling

Keywords from Contributors

energy-system energy-system-model climate-change parallel optimisation costs power-grid europe energy-system-analysis capacity-expansion-planning
Last synced: 9 months ago · JSON representation

Repository

Basic Info
Statistics
  • Stars: 90
  • Watchers: 6
  • Forks: 56
  • Open Issues: 2
  • Releases: 2
Topics
data-science energy energy-data energy-system-modelling
Created almost 4 years ago · Last pushed 10 months ago
Metadata Files
Readme Contributing License

README.md

Data Science for Energy System Modelling

Course at TU Berlin to learn energy system modelling with data.

Usage

Building the book

If you'd like to develop and/or build the Data Science for Energy System Modelling book, you should:

  1. Clone this repository
  2. Run pip install -r requirements.txt (it is recommended you do this within a virtual environment)
  3. (Optional) Edit the books source files located in the data-science-for-esm/ directory
  4. Run jupyter-book clean data-science-for-esm/ to remove any existing builds
  5. Run jupyter-book build data-science-for-esm/

A fully-rendered HTML version of the book will be built in data-science-for-esm/_build/html/.

Hosting the book

Please see the Jupyter Book documentation to discover options for deploying a book online using services such as GitHub, GitLab, or Netlify.

For GitHub and GitLab deployment specifically, the cookiecutter-jupyter-book includes templates for, and information about, optional continuous integration (CI) workflow files to help easily and automatically deploy books online with GitHub or GitLab. For example, if you chose github for the include_ci cookiecutter option, your book template was created with a GitHub actions workflow file that, once pushed to GitHub, automatically renders and pushes your book to the gh-pages branch of your repo and hosts it on GitHub Pages when a push or pull request is made to the main branch.

Contributors

We welcome and recognize all contributions. You can see a list of current contributors in the contributors tab.

Credits

This project is created using the excellent open source Jupyter Book project and the executablebooks/cookiecutter-jupyter-book template.

Owner

  • Name: Fabian Neumann
  • Login: fneum
  • Kind: user
  • Location: Berlin
  • Company: TU Berlin

Energy System Modeller at Technische Universität Berlin

GitHub Events

Total
  • Watch event: 21
  • Push event: 6
  • Fork event: 8
Last Year
  • Watch event: 21
  • Push event: 6
  • Fork event: 8

Committers

Last synced: 10 months ago

All Time
  • Total Commits: 117
  • Total Committers: 5
  • Avg Commits per committer: 23.4
  • Development Distribution Score (DDS): 0.231
Past Year
  • Commits: 2
  • Committers: 1
  • Avg Commits per committer: 2.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Fabian Neumann f****n@o****e 90
pre-commit-ci[bot] 6****] 18
wehuang h****3@y****m 4
Max Parzen m****n@e****k 4
Pietro Monticone 3****e 1
Committer Domains (Top 20 + Academic)
ed.ac.uk: 1 outlook.de: 1

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 7
  • Total pull requests: 13
  • Average time to close issues: 4 months
  • Average time to close pull requests: about 1 month
  • Total issue authors: 3
  • Total pull request authors: 5
  • Average comments per issue: 1.43
  • Average comments per pull request: 1.0
  • Merged pull requests: 10
  • Bot issues: 0
  • Bot pull requests: 7
Past Year
  • Issues: 0
  • Pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 1
View more stats
Top Authors
Issue Authors
  • pz-max (2)
  • mikeymike555 (2)
  • JohannesWirth (1)
Pull Request Authors
  • pre-commit-ci[bot] (11)
  • pz-max (2)
  • mdzzg (2)
  • pitmonticone (1)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

.github/workflows/deploy.yml actions
  • actions/checkout v2 composite
  • mamba-org/provision-with-micromamba main composite
  • peaceiris/actions-gh-pages v3.6.1 composite
requirements.txt pypi
  • atlite >=0.2.11
  • cartopy >=0.22
  • country-converter *
  • folium *
  • geopandas >=0.13.2
  • geoviews >=1.10
  • ghp-import *
  • graphviz *
  • highspy >=1.5.3
  • holoviews *
  • hvplot *
  • ipython *
  • jupyter-book *
  • jupyterlab *
  • lxml *
  • mapclassify *
  • matplotlib >=3.6
  • netcdf4 *
  • networkx *
  • numpy *
  • openpyxl *
  • pandas >=2
  • plotly *
  • powerplantmatching >=0.5.7
  • pyepsg *
  • pyomo >=6.5
  • pypsa >=0.25.1
  • pyxlsb *
  • pyyaml *
  • rasterio >=1.3.2
  • scipy *
  • shapely >2
  • tables *
  • tabula-py *
  • xarray *
  • xlrd *
environment.yaml pypi
  • highspy *