New project: AGENT-2
The Chair of Automatic Control is involved in the recently accepted BMWK-funded project „Agent-based data-driven modeling for stochastic and self-adjusting control of building energy systems“ (AGENT-2) together with RWTH Aachen, Robert Bosch GmbH and Bosch Building Automation GmbH.
The goal of the project is to develop a self-adjusting and self-learning model-predictive control concept that reduces the implementation and commissioning effort and thus increases the applicability of efficient operating strategies in practice. AGENT-2 builds upon the findings and the framework developed in the previous project AGENT. The project thus contributes to increasing the efficiency of building operation and to reducing the costs of controller implementation and commissioning.