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Anticipate changes in the electricity market


Fine-tune your simulation according to your criteria and constraints


Make adjusted forecasts of electricity demand and tariffs

With which tools?

  • With a combination of weather and market data

    With the integration of variables such as weather conditions and price history in different energy markets (EPEX Spot and EEX) over a two-year time scale.

  • With a fully customizable simulation

    With the implementation of various additional parameters (weather and temperature seasonality), refine your simulation results.

  • With advanced forecasts

    With the advanced calculation capabilities of our AI, accurately determine the future evolution of energy prices.

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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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