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Adapt your infrastructure and cope with changes in energy demand


Build an adapted energy demand simulation


Fine-tune your simulation according to many criteria


Anticipate the impact of an EV fleet on energy demand

With which tools?

  • With an advanced configuration of your simulation

    Thanks to the different parameters available (size of the electric vehicle (EV) fleet, charging time, different types of users, etc.), generate an accurate and personalized simulation.

  • With an accurate determination of future demand

    Thanks to the data collected by our AI, refine the energy demand simulations related to EV charging by integrating the evolutions of this market.

  • With demand compartmentalization

    Our AI allows users to precisely segment the uses and energy demands related to EVs (globally, according to specific sectors, a consumer typology, a time scale etc...).

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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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