We saw that this could take the models used in industry much further, and change the daily work of the energy professionals who use them. So we started Greenville Analytics.
The name refers to how connected today’s power systems are, the European one most of all. We believe in a green Europe that shares sustainable resources in an efficient and fair way.
Although energy system optimization models have been used for many years, we think there is enormous room for improvement. Therefore, it is our mission to revolutionize energy system modelling with AI-driven speed, accuracy and simplicity.
Greenville Analytics is a true TU Delft spin-off. The founding team has worked for decades on energy system optimization, machine learning and the European energy sector.
Remco connects the models to our customers. With his professional experience in the energy sector, he knows how advanced energy system models can be used to support decision making. He is also a part-time associate professor at TU Delft and has spent his career working on electricity markets, weather forecasting and energy system modeling.
Ben builds Greenville’s technology: ultra-fast and accurate energy system models. Accelerated by AI and running on infrastructure that spreads a study across GPU and cloud compute instead of a single overnight machine.
Mathijs is a full professor at TU Delft, where he leads algorithmics research on planning and scheduling under uncertainty. As a scientific advisor on AI and algorithms at Greenville, he advises on our long-term technology development roadmap.
TU Delft students who build and test the platform with us.






If you work on optimization, machine learning or energy systems and this sounds like your problem, get in touch.
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