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

Built Distribution

File details

Details for the file power-grid-model-io-1.2.75a1121711651648.tar.gz.

File metadata

File hashes

Hashes for power-grid-model-io-1.2.75a1121711651648.tar.gz
Algorithm Hash digest
SHA256 465ff174bd5ecd7e9e1a41666ec19206e514eb295f00b02cea3b4509d97f3fa4
MD5 bf4e454a4a077cf41fb23d7745926a59
BLAKE2b-256 6abf6a8b10595dfcd2745f1950e77861dca093f8ce54385acb82e17c7958e5ac

See more details on using hashes here.

File details

Details for the file power_grid_model_io-1.2.75a1121711651648-py3-none-any.whl.

File metadata

File hashes

Hashes for power_grid_model_io-1.2.75a1121711651648-py3-none-any.whl
Algorithm Hash digest
SHA256 4167e8e3675d209406600c86c73e8b934c67293e8072cfb35e2e5ef23600904f
MD5 7b62490cdd92b901cfa15eabdf73b630
BLAKE2b-256 5094955ba7d4a087297ed37b3ea3ae92c094bfc2fcb4d35c457724cc44b5de4d

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