synthetic_energy
Package for generating privacy-preserving data in the power systems domain.
Installation
conda create -n synthetic_energy python=3.10
pip install synthetic_energy/
This package contains known algorithms for privacy-preserving 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.
Doppelganger and Actgan implementations inspired by https://github.com/gretelai/gretel-synthetics.
1 maintainer
Metadata
1 maintainer
Release files for synthetic-energy 0.0.15
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| synthetic_energy-0.0.15.tar.gz | 207.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| synthetic_energy-0.0.15-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 439.3 kB
Release files / synthetic_energy-0.0.15.tar.gz
| Download URL | synthetic_energy-0.0.15.tar.gz |
|---|---|
| Size | 207.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/6.0.1 CPython/3.12.8
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Release files / synthetic_energy-0.0.15-py3-none-any.whl
| Download URL | synthetic_energy-0.0.15-py3-none-any.whl |
|---|---|
| Size | 232.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.8
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