Skip to main content

Power Grid Model Input/Output

Project description

PyPI version Anaconda-Server Badge License: MIT Downloads Downloads

Build and Test Python Check Code Quality REUSE Compliance Check docs

Quality Gate Status Coverage Maintainability Rating Reliability Rating Security Rating Vulnerabilities

Nightly build

DOI

Power Grid Model Input/Output

power-grid-model-io can be used for various conversions to the power-grid-model. For detailed documentation, see Read the Docs.

Installation

Install from PyPI

You can directly install the package from PyPI.

pip install power-grid-model-io

Install from Conda

If you are using conda, you can directly install the package from conda-forge channel.

conda install -c conda-forge power-grid-model-io

Examples

License

This project is licensed under the Mozilla Public License, version 2.0 - see LICENSE for details.

Contributing

Please read CODE_OF_CONDUCT and CONTRIBUTING for details on the process for submitting pull requests to us.

Visit Contribute for a list of good first issues in this repo.

Citations

If you are using Power Grid Model IO in your research work, please consider citing our library using the following references.

DOI

@software{Xiang_PowerGridModel_power-grid-model-io,
  author = {Xiang, Yu and Salemink, Peter and Bharambe, Nitish and Govers, Martinus and van den Bogaard, Jonas and Stoeller, Bram and Wang, Zhen and Guo, Jerry and Jagutis, Laurynas and Wang, Chenguang and {Contributors to the LF Energy project Power Grid Model}},
  doi = {10.5281/zenodo.8059257},
  license = {MPL-2.0},
  title = {{PowerGridModel/power-grid-model-io}},
  url = {https://github.com/PowerGridModel/power-grid-model-io}
}
@software{Xiang_PowerGridModel_power-grid-model,
  author = {Xiang, Yu and Salemink, Peter and Bharambe, Nitish and Govers, Martinus and van den Bogaard, Jonas and Stoeller, Bram and Wang, Zhen and Guo, Jerry and Jagutis, Laurynas and Wang, Chenguang and van Raalte, Marc and {Contributors to the LF Energy project Power Grid Model}},
  doi = {10.5281/zenodo.8054429},
  license = {MPL-2.0},
  title = {{PowerGridModel/power-grid-model}},
  url = {https://github.com/PowerGridModel/power-grid-model}
}
@inproceedings{Xiang2023,
  author = {Xiang, Yu and Salemink, Peter and Stoeller, Bram and Bharambe, Nitish and van Westering, Werner},
  booktitle = {CIRED 2023 - The 27th International Conference and Exhibition on Electricity Distribution},
  title = {Power grid model: A high-performance distribution grid calculation library},
  year = {2023},
  volume={2023},
  number = {},
  pages={1-5}
}

Contact

Please read SUPPORT for how to connect and get into contact with the Power Grid Model IO project.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

power_grid_model_io-1.2.104.tar.gz (239.6 kB view details)

Uploaded Source

Built Distribution

power_grid_model_io-1.2.104-py3-none-any.whl (88.5 kB view details)

Uploaded Python 3

File details

Details for the file power_grid_model_io-1.2.104.tar.gz.

File metadata

  • Download URL: power_grid_model_io-1.2.104.tar.gz
  • Upload date:
  • Size: 239.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.15

File hashes

Hashes for power_grid_model_io-1.2.104.tar.gz
Algorithm Hash digest
SHA256 3cca96ac2aef593ec11ec5918e068112272b7f90f54e87fdf9b34e69a14484b8
MD5 e9e2f734c35ef2558b9f555429cc2a7b
BLAKE2b-256 f91bc7c9af3f02907f5045970d6e99d612a5648917928626b837f3b743bfbede

See more details on using hashes here.

File details

Details for the file power_grid_model_io-1.2.104-py3-none-any.whl.

File metadata

File hashes

Hashes for power_grid_model_io-1.2.104-py3-none-any.whl
Algorithm Hash digest
SHA256 b7f294101abd24784f17139dd332aa7ac997d395d1cd1d4aa2643dd928ad0bb6
MD5 efbf30776e4f2ce5f5daa5995da07354
BLAKE2b-256 f99e381321dc547d3acb622d5625f5d2c35fa37ad587e0893eb56b1480d416ac

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page