The energy transition will be decided in the distribution grid. Decentralized generators, storage facilities, flexible consumers, and cross-sector applications must be coordinated in an intelligent, efficient, and stable manner.

The Intelligent Energy Networks (IEN) research group develops data- and model-based methods for analyzing, simulating, and optimizing climate-neutral energy systems—from microgrids to the municipal level.

Our focus areas are:

• Simulation and analysis of distribution grids and local energy systems for the development of smart grid solutions (flexibility utilization and grid transparency)
• Optimization-based operating strategies for microgrids and flexible consumers (including storage facilities, charging structures, and heat pumps) – taking into account battery aging, forecasts, and uncertainties
• Resilience of critical energy infrastructures
• Data-driven methods and AI for energy data analysis
• Power quality and grid interactions

With the INES microgrid, we have a real-world laboratory for validating models and algorithms under real conditions. Our projects are developed in close cooperation with grid operators, industry partners, municipalities and research institutions.