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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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January 8, 2017, Filed Under: News, Publication

Paper in Applied Energy

Our paper on the NEST HiLo module in Switzerland in collaboration with researchers at ETH Zurich entitled Coupling energy systems with lightweight structures for a net plus energy building has been published in Applied Energy. You can download your copy until Feb 11th from Science Direct: Read more 

November 19, 2016, Filed Under: News

Internship/Thesis project in Data-driven Building Energy Optimization

Update (April, 2017): This internship is not available anymore. IEL is looking for a motivated, hard-working UT engineering student (CE, ARE, ME, EE, CS) to assist our research in building energy optimization. The prospective student will work closely with the Energy Management and Optimization Read more 

September 14, 2016, Filed Under: News, People

Jose Ramon Vazqez joins IEL

Jose is joining IEL in the Fall'16 semester as a PhD student. His research will focus on smart & sustainable cities. Welcome José! Read more 

September 5, 2016, Filed Under: News, People

Welcome Sara, Juan & Sid!

For the Fall'2106 semester, three undergraduate researchers have joined IEL: Juan Jasso: working on smart buildings and comfort. Sara Kingman: supporting us in the area of building control. Sid Kapur: applying machine learning techniques to building data. Welcome to IEL!   Read more 

June 20, 2016, Filed Under: News, Publication

Paper in Energy & Buildings

Our paper on occupant centered lighting control, which investigated the balancing between occupant comfort and satisfaction with energy savings of the lighting system has been published in Energy & Buildings. The experimental study was conducted in the Architecture & Building Systems 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

People

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

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nagy@utexas.edu

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