José Ramón Vázquez-Canteli
I am a Ph.D. student at the University of Texas at Austin. My research interests are demand response, smart cities, and urban scale analysis and simulation. I am applying machine learning and AI-based control techniques to coordinate the electrical demand response of HVAC systems in buildings, smart appliances, and electric vehicles in cities. Currently doing research at the Intelligent Environments Laboratory in the Department of Civil, Architectural and Environmental Engineering. I did my master thesis at EPFL, which focused on simulating and analyzing the heating, cooling, and electricity demands of a neighborhood of the city of Geneva for different climate change and refurbishment scenarios. I also have background in power systems, and I graduated from the Universidad Pontificia Comillas in 2016, with a M.S. in Industrial Engineering.
Vazquez-Canteli JR, Nagy Z, “Reinforcement learning for demand response: A review of algorithms and modeling techniques”. Submitted to Renewable and Sustainable Energy Reviews, 2017
Vazquez-Canteli JR, Kampf JH, Nagy Z, “Balancing comfort and energy consumption of a heat pump using batch reinforcement learning with fitted Q-iteration”. CISBAT, Lausanne, 2017
Nagy, J.Y. Park, and J.R. Vazquez-Canteli “Reinforcement Learning for smart buildings and cities”, Passive and Low Energy Architecture (PLEA), Edinburgh, 2017
Vazquez-Canteli J., Kämpf J. “Massive 3D Models and Physical Data for building simulation at the urban scale: a focus on Geneva and climate change scenarios”, Sustainable City 2016; WIT Transactions on Ecology and The Environment, Vol 204.
Awards & Recognitions
2017 Award of British Petroleum Chair on Energy and Sustainable Development. One of the twelve best projects at Universidad Pontificia Comillas: “Massive 3D Models and Physical Data for building simulation at the urban scale: a focus on Geneva and climate change scenarios” [link, in Spanish]
2010 Excellence Scholarship of the Community of Madrid