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Analyze your production history to better understand the source of your performance and increase efficiency


Compare forecasted and actual data from your production history 


Analyze your data and identify discrepancies and similarities 


Predict your network performance

With which tools?

  • With the comparison of production data and past forecasts

    Thanks to the past performances of your network and previous forecasts, build a complete database on time series, with a current history over several years.

  • With deviation detection

    Thanks to the automated identification of discrepancies (between forecasts and actual performance) and similarities identified over time, gain valuable insights into your business.

  • With a forecast of the future performance of your wind farm

    Thanks to the analysis of collected data and identified performance elements, map and predict the efficiency of your network in a single reference frame.

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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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