Power Grid Model Input/Output
Project description
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.
@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 Jagutis, Laurynas and Wang, Chenguang and {Contributors from 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 Jagutis, Laurynas and Wang, Chenguang and {Contributors from 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
Hashes for power-grid-model-io-1.2.41.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 70e7f52bb99367f3fa05840b0c6fb62432a48b3dcc83e636b0ce4dd81d75f096 |
|
MD5 | 3ea13d82325914f38469637d23dc7370 |
|
BLAKE2b-256 | 4631e3be6f4ebc090521d69ca2a6c194d4a54d5ac59066b0a486936f55c8665a |
Hashes for power_grid_model_io-1.2.41-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | fc5334190a91f906c4b2998935d17144caeb9cfc749cabc82ad4c4947c97b266 |
|
MD5 | bc9e5cb3f1b31186ea2015895e2565fe |
|
BLAKE2b-256 | c7610bafc3b854645ff8d110c8bb6bf59c0fefcfac526f44b94639a4a10b1701 |