Energy Intranets


We have access to a data platform of prosumers (farmers and industries) with significant energy production, consumption and storage. The goal is to investigate to what extent recent technological and scientific advances (such as data analytics, machine learning and hyperlocal weather forecasts) can be harnessed to accurately match demand and supply in real time, and optimise storage and flexibility. This will allow the participants to benefit financially while at the same time contribute to the stability and flexibility of the grid. Results are expected to guide further research in the organisation of, and interaction among, virtual power plants and microgrids.


Project number


Main applicant

Dr. E.J.E.M. Pauwels

Affiliated with

Centrum Wiskunde & Informatica, Intelligent Systems (IS)

Team members

M.E. Kootte