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Energy Differential Privacy

Project description

This repository contains the pilot implementation of the core privacy methods for Energy Differential Privacy (EDP). The key components are:

  • Core Differential Privacy for energy efficiency analytics (eeprivacy)
  • Python API documentation for eeprivacy
  • Sample implementations of key use cases

[Examples and library documentation](

Energy Differential Privacy (EDP) enables the use of the gold standard of privacy protection, differential privacy, for high value energy efficiency analytics.


pip install eeprivacy

Local Usage


With your preferred notebook environment (like [JupyterLab]( or [nteract](, install eeprivacy and try out any of the [example notebooks](


>>> from eeprivacy.mechanisms import LaplaceMechanism
>>> LaplaceMechanism.execute(value=0, epsilon=0.1, sensitivity=1)


Build docs:


Run tests:


Project details

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Files for eeprivacy, version 0.0.5
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