Metadata-Version: 2.1
Name: synthetic_energy
Version: 0.0.8
Summary: PhD work for ICSP @ FEUP, PORTO
Author: Rui Melo & André Catarino
Author-email: rufimelo99@gmail.com; andre.almeida.catarino@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: category_encoders>=2.6.3
Requires-Dist: torch>=2.2.2
Requires-Dist: scikit-learn>=1.5.1
Requires-Dist: visions>=0.7.6
Requires-Dist: ImageHash>=4.3.1
Requires-Dist: shapely>=2.0.5
Requires-Dist: pytest>=2.0.1
Requires-Dist: rdt>=1.12.2
Requires-Dist: spacy>=3.7.5
Requires-Dist: faker
Requires-Dist: structlog

# synthetic_energy

Package for generating privacy-presarving data in the power systems domain.

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## Installation


```bash
conda create -n synthetic_energy python=3.11
pip install synthetic_energy/
```

This package contains known algorithms for privacy-presarving data generation in the power systems domain. The package is designed to be easy to use and to be easily extensible. The package is intended to be used only in the academic context.

Greatly inspired by https://github.com/gretelai/gretel-synthetics .
