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Intelligent Environments Laboratory

The University of Texas at Austin
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  • People
    • 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 25, 2021, Filed Under: News

Invited Seminar – Smart Living Lab

Dr Nagy has been invited by the Thermal Engineering for the Built Environment Laboratory (TEBEL) at EPF Lausanne to present our researches on "Reinforcement learning for the building energy control". https://www.smartlivinglab.ch/en/en-reinforcement-learning/ Read more 

November 18, 2020, Filed Under: News, Publication

IEL @ ACM BuildSys’20

We were well represented at ACM BuildSys this year (http://buildsys.acm.org/2020/). See the presentations on YouTube: Jose kicked us off with a full paper presentation MARLISA: Multi-Agent Reinforcement Learning with Iterative Sequential Action Selection for Load Shaping of Grid-Interactive Read more 

November 17, 2020, Filed Under: News

1st RLEM Workshop @ BuildSys’20

Together with colleagues from Carnegie Mellon University and University of Texas at Arlington, IEL organized the first ACM Workshop on Reinforcement Learning for Energy Management in Buildings and Cities (RLEM'20) at ACM BuildSys on November 17th, 2020, the details are on www.rlem-workshop.net. Read more 

November 11, 2020, Filed Under: News

Impact of COVID-19 on civil infrastructure and citizen needs in Austin, TX

Our research has been presented at UT Austin's COVID research showcase. Watch the video here https://youtu.be/0JlhwvWW2Gs Read more 

August 17, 2020, Filed Under: News

Jose → Dr Vazquez-Canteli!

Jose is the next awesome IEL student to successfully defend his PhD entitled Multi-Agent Reinforcement Learning for Demand Response and Load Shaping of Grid-Interactive Connected Buildings. We congratulate him for this great piece of work and wish him good luck for his future Read more 

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Research Highlight

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

A new IEA EBC Annex on occupant-centric design and controls has been approved. The Annex will involve about 100 experts from 20 countries for five Read more 

About Us

The Intelligent Environments Laboratory (IEL), led by Prof. Zoltán Nagy, is an interdisciplinary research group within the Building Energy & Environments (BEE) and Sustainable Systems (SuS) Programs of the Department of Civil, Architectural and Environmental Engineering (CAEE) in the Cockrell School of Engineering of the University of Texas at Austin.

The aim of our research is to rethink the built environment and define Smart Buildings and Cities as spaces that adapt to their occupants and reduce their energy consumption.

We combine data science with building science and apply machine learning to the building and urban scale

Take a look at our projects !

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air handling unit Annex 79 architecture artificial neural network Bluetooth city learn Community engaged research earthquakes environmental monitoring fault detection and diagnostics HVAC integrated design intelligent energy management Lighting Control machine learning Megan McHugh multi-agent systems Occupancy Occupant Centered Control Reinforcement Learning Review Smart Building smart city teaching Thermal Comfort
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Research

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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

Tags

air handling unit Annex 79 architecture artificial neural network Bluetooth city learn Community engaged research earthquakes environmental monitoring fault detection and diagnostics HVAC integrated design intelligent energy management Lighting Control machine learning Megan McHugh multi-agent systems Occupancy Occupant Centered Control Reinforcement Learning Review Smart Building smart city teaching Thermal Comfort
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301 E Dean Keeton St
Austin, TX 78712
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nagy@utexas.edu

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