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Anticipate changes in the energy sector and guarantee the performance of your strategies over the long term


Compile data and set up your simulation 


Determine the optimal energy mix for a territory through 2030


Estimate the investment gap for flexible power plants

With which tools?

  • With an aggregation of network, technological, economic and financial data

    Thanks to different input parameters (fixed and variable costs, production technologies, network storage capacity...) let our AI fine-tune the results of your simulations.

  • With the determination of the optimal energy mix

    Thanks to the available data and the implemented parameters, get an accurate view of the optimal energy mix at the desired horizon.

  • With a forecast of the missing investments

    With reports based on your simulations, define the investments needed to comply with the future optimal energy mix.

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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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