Skip to main content

Power Grid Model Input/Output

Project description

PyPI version Anaconda-Server Badge License: MIT Build and Test Python Check Code Quality REUSE Compliance Check docs

Quality Gate Status Coverage Maintainability Rating Reliability Rating Security Rating Vulnerabilities

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 Gird 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-1.2.99.tar.gz (239.2 kB view details)

Uploaded Source

Built Distribution

power_grid_model_io-1.2.99-py3-none-any.whl (88.2 kB view details)

Uploaded Python 3

File details

Details for the file power_grid_model_io-1.2.99.tar.gz.

File metadata

  • Download URL: power_grid_model_io-1.2.99.tar.gz
  • Upload date:
  • Size: 239.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for power_grid_model_io-1.2.99.tar.gz
Algorithm Hash digest
SHA256 18c2581983a0170e70fa4516c775b2a0597dacc866a759ed3857eab36c0e9984
MD5 9368cf7fea8f0d2a7c9d91b1c418a5ba
BLAKE2b-256 fc2fd1b404c5c450159ca2b7108d076b58ce9e5b9a5ddd6f1000b5ba1e9edb11

See more details on using hashes here.

File details

Details for the file power_grid_model_io-1.2.99-py3-none-any.whl.

File metadata

File hashes

Hashes for power_grid_model_io-1.2.99-py3-none-any.whl
Algorithm Hash digest
SHA256 2f27935f657386b083ca4610d1b447488bf3c8400cc6639e3dd87600956d44b6
MD5 50578fb073c7dc6feb75e54372c53228
BLAKE2b-256 d408571e8b8c3250b2c58a486fd4853706655180e71e2420b522da5f8c3fa6ce

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