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Turn your knowledge of electricity consumption into a competitive advantage


Measure electricity consumption with a large database 


Compare types of usage at different scales


Anticipate the evolution of energy consumption

With which tools?

  • With a home-consumption model

    Thanks to our tool, define a typical week of consumption according to the equipment used and identify the energy consumed within each 30-minute period.

  • With a refinement of the results

    Thanks to the integration of variables such as the weather, seasons, age or efficiency of electrical appliances, determine with precision their impact on the electrical consumption of the home.

  • With an anticipation of the evolutions of the demand

    Thanks to different scenarios integrating, for example, a thermal renovation of the home, the replacement of obsolete appliances by more recent models or the addition of new electrical appliances, anticipate changes in the electrical consumption of a home.

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Our publications


Boosting search engine capabilities of RegReview:…

RegReview is an AI solution for compliance teams, to automate regulatory monitoring and processes, which brings together several tools, the most essential of which is a search engine operating on a compiled database of custom-built regulatory sources.

The database contains ~300k documents.


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Article title

Labeling text clusters with keywords

We propose to explore several keyword extraction techniques to label text clusters obtained after a Text Clustering or a Topic Modeling pipeline. This work is following our previous articles about Topic Modeling and Text Clustering (here and here).


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Synthetic data or how to share sensitive data…

For a period of six months, 5 students from Centrale Supélec and ESSEC worked collaboratively with Sia Partners on building a Python library to create fake - which we'll call synthetic - data.
But what's the point of creating fake data? How could it help organizations?


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