Research

Our research supports the development of new technologies for the intelligent control of future, cross-sector energy systems. Our research focus is on the use of the latest information technologies, in particular distributed systems, data-driven control algorithms and machine learning with applications to building energy systems, renewable energy generation plants, electromobility, energy storage, electrical distribution networks and electricity markets.

Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our research process typically involves the following steps: (1) assessment of existing systems to understand their limitations, (2) extensive model-based analysis to explore the solution space, (3) implementation and validation of the most attractive solution. To carry out our research, we continuously develop and expand our laboratory infrastructure, which enables us to perform computationally intensive simulations and hardware-in-the-loop experiments.

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