We have investigated experimentally the use of Reinforcement Learning for lighting control in our own offices. The results are awesome and now published in Building & Environment. J. Park, T. Dougherty, H. Fritz, Z. Nagy, LightLearn: An adaptive and occupant centered controller for lighting Read more
Optimal decarbonization pathways for urban residential building energy services
Our paper in collaboration with Prof. Leibowicz has been accepted for publication in Applied Energy. It address decarbonization pathways of residential building systems using Austin, TX as an example. Leibowicz, B.D., Lanham, C.M., Brozynski, M.T.Vázquez-Canteli, J.R., Castillo, N., and Nagy, Read more
Chapter in Handbook of Sustainable and Resilient Infrastructure
We have published a Tutorial on Reinforcement Learning (RL) in the forthcoming Handbook of Sustainable and Resilient Infrastructure published by Routledge. We argue that model-free algorithms, such as RL, are particularly useful for controlling buildings systems (HVAC, lighting, etc), because they Read more
ASHRAE 2018—Annual Meeting Houston
Dr Nagy spoke at the 2018 edition of the annual ASHRAE conference in Houston. He discussed our Bluetooth methodology for occupancy detection and showcased an 8% reduction of the chilled water supply based on the data from a $10 device. Z. Nagy, J. Vazquez-Canteli, J.Y. Park, "Using Bluetooth Read more
Performative design environment for kinetic photovoltaic architecture
Research on dynamic building integrated photovoltaics led by our collaborators at ETH Zurich, Switzerland, has been published in Automation in Construction. Check it out! P. Jayathissa, S. Caranovic, J. Hofer, Z. Nagy, and A. Schlueter, “Performative design environment for kinetic photovoltaic Read more
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