The need for better decision support systems are increasing as new energy sources, new market mechanisms, and new services drive the need for digitalization.
The Optimisation group in SINTEF has several projects in this domain, addressing a range of optimization problems, from Optimal Power Flow to Demand Response scheduling.
Kongsberg Digital is leading the way towards the digitalized energy system of the future with its KogniGrid project.
ENERGYTICS will demonstrate how machine learning and artificial intelligence can increase the value of the new smart meters that are currently being installed in all Norwegian homes.
The goal of the SmartPower project is to demonstrate the usefulness of modern optimisation methods for demand response applications in energy markets. To this end, we develop a prototype for optimised power matching/load balancing in large scale...
A software for computing the optimal (switch) configuration of power distribution grids. The choice of configuration is critical in many DSO decision processes, from long term investment planning to daily operations.
