Electric vehicle charging impact

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

- Financial Services & Compliance

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?

2023

- Financial Services & Compliance

Introduction to OpenStreetMap: How to leverage…

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2023

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Customer churn prediction with Data Science

Thanks to Machine Learning, companies can significantly improve their activities by leveraging their data. Machine Learning is a field of study of artificial intelligence that gives an AI the ability to "learn" from data.

2023

See our publications