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Intelligent Environments Laboratory

The University of Texas at Austin
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    • Prof. Zoltan Nagy, PhD
    • June Young Park
    • José Ramón Vázquez-Canteli
    • Megan K. McHugh, MSE
    • Ayşegül Demir Dilsiz
    • Hagen Fritz
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July 3, 2020, Filed Under: News

Keynote lecture at AMLIES 2020

Dr Nagy gave a keynote address at the 2020 ACM Workshop for Applied Machine Learning for Intelligent Energy Systems, co-located with ACM e-Energy, showcasing our latest achievements in reinforcement learning control for microgrid building coordination and the CityLearn challenge. It can be viewed Read more 

June 19, 2020, Filed Under: News

June → Dr Park!

IEL's first PhD student has graduated today!!! We congratulate Dr Park for successfully defending his thesis Occupant-Centric Building Control: Balancing Occupant Comfort and Energy Efficiency. We are excited and wish him good luck for his new position as faculty at UT Arlington. Abstract: For Read more 

May 21, 2020, Filed Under: News

IBPSA JBPS Special Issue on The CityLearn Challenge

We're guest editing a Special issue in the IBPSA Journal of Building Performance Simulation together with Dr Henze of CU Boulder. Periods of high demand for electricity raise electricity prices and the overall cost of electric power provision. Flattening, smoothing, and reducing electrical demand Read more 

April 25, 2020, Filed Under: News

IEA-EBC Annex 79 Meeting virtually in Southampton

From 4/20–4/23 over 100 scientist from around the world met virtually for the Annex79 expert meeting. This meeting was supposed to be in Beijing, and was relocated to Southamption, UK. However, given the current pandemic and travel restrictions, the meeting had to be held virtually. The organizers Read more 

April 14, 2020, Filed Under: News

CityLearn featured in IBPSA Newsletter

Our CityLearn framework integrating reinforcement learning applications for demand response in connected communities has been included in this month's IBPSA (Int'l Building Performance Simulation Association) newsletter and its cover (download here IBPSANews-30-1 ), alongside with other great Read more 

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UT Energy App – Privacy Policy

Fault detection and diagnostics of air handling units using machine learning and expert rule-sets

Reinforcement Learning in the Built Environment

Reinforcement learning for urban energy systems & demand response

Multi-Agent Reinforcement Learning for demand response & building coordination

IEA-EBC Annex 79: Occupant Centric Design and Operation of Buildings

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  • Prof. Zoltan Nagy, PhD
  • June Young Park
  • José Ramón Vázquez-Canteli
  • Megan K. McHugh, MSE

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