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-1.2.100.tar.gz (239.2 kB view details)

Uploaded Source

Built Distribution

power_grid_model_io-1.2.100-py3-none-any.whl (88.2 kB view details)

Uploaded Python 3

File details

Details for the file power_grid_model_io-1.2.100.tar.gz.

File metadata

  • Download URL: power_grid_model_io-1.2.100.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-1.2.100.tar.gz
Algorithm Hash digest
SHA256 7c687813539bb8bdb70063e4119c3c3177fbae0ef1fdf24142338fcc17ef5d7a
MD5 20f2ed22e0c66a37c251a868413a0ddd
BLAKE2b-256 69af5e87f939e9616a36beed0aaf1f8561f4971623abc77196b9608bc88796a6

See more details on using hashes here.

File details

Details for the file power_grid_model_io-1.2.100-py3-none-any.whl.

File metadata

File hashes

Hashes for power_grid_model_io-1.2.100-py3-none-any.whl
Algorithm Hash digest
SHA256 0595e58f9463b001a06555b54a90486cf3569d6946e75460db84d9b4c0b41852
MD5 1ff7d25fe48af41eb95bca4df089620c
BLAKE2b-256 2d98d91b4526c36a02b8a0c221f28b19381726905e1301e3622624fbf8f3350b

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