Professor Henze’s research interests include: Building/grid integration, model-based predictive optimal control and model-free reinforcement learning control of building energy systems and building thermal mass, model-based benchmarking of building operational performance, whole-building fault detection and diagnosis, building occupancy detection using distributed sensor belief networks, design and control strategies for mixed-mode buildings that incorporate both natural and mechanical ventilation, low-exergy building energy systems for continental climates, zero energy buildings, time series prediction and forecasting, distributed generation systems.
