Current energy systems are undergoing a wave of transformations to comply with climate and renewable generation targets. This is resulting in new challenges and research questions, which are of interest for public and private institutions, as well as for policymakers. These research questions include the following:

• What are the risks to the security of supply in energy systems?
• How do interdependent systems and infrastructures affect one another when coupling different sectors?
• How do we consider planning and short- and long-term operation while ensuring a reliable energy supply?
• What is the optimal evolution of energy systems when accounting for equity, environmental and security factors?

To answer these questions, a multi-disciplinary research group with academic backgrounds ranging from mechanical to energy, electrical and automation engineering has been recruited and trained. We conduct multi-disciplinary research at the intersection of energy systems, power systems, and advanced computational methods. 

Our research spans four key areas: power systems and machine learning, focusing on electric power grids and power markets; multi-scalar decision-making, exploring the complexity of decision-making from local to global level; Swiss energy transition, enabling and studying Switzerland’s optimal path to decarbonization; and macro energy transition, exploring pathways and policies for large-scale decarbonization.