research overview
- Professor Henze’s research emphasizes model predictive control and reinforcement learning control of building energy systems, district energy systems, building thermal mass, refrigeration systems, model-based benchmarking of building operational performance, fault detection and diagnosis, control strategies for mixed-mode buildings, uncertainty quantification of occupant behavior and its impact, human presence detection, sensor fusion algorithms, energy analytics and decision analysis as well as the integration of building energy system operations with the electric grid system.