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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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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 

February 27, 2020, Filed Under: Publication

The good, the bad, and the ugly: Data-driven load profile discord identification in a large building portfolio

Our paper has been accepted in Energy and Buildings. The work is led by our awesome PhD student June, in collaboration with the National Renewable Energy Laboratory in Golden, CO. Check it out y'all. https://doi.org/10.1016/j.enbuild.2020.109892 Abstract: Reducing the overall energy Read more 

January 7, 2020, Filed Under: Publication

Wireless sensor network for estimating building performance

Our latest paper, led by colleagues from ETH Zurich,  deals with developing and deploying wireless sensor networks for building energy monitoring. https://doi.org/10.1016/j.autcon.2019.103043   Abstract Accurate building energy assessments are often limited by inaccurate assumptions Read more 

September 13, 2019, Filed Under: Publication

A critical review of field implementations of occupant-centric building controls

Our review paper on practical implementations of OCC applications is published in Building & Environment. This study is a first output of Subtask 4 of the IEA-EBC Annex 79 research project that is co-lead by IEL. Check it out this international collaboration between groups in Canada, Denmark, Read more 

August 4, 2019, Filed Under: Publication

Paper in Nature Energy & Cover

Our paper Dynamic photovoltaic building envelopes for adaptive energy and comfort management has been published in the July edition of Nature Energy. B. Svetozarevic et al., “Dynamic photovoltaic building envelopes for adaptive energy and comfort management,” Nat. Energy, Read more 

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Research Highlight

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

To reduce HVAC energy inefficiencies, fault detection and diagnostics (FDD) has become a growing field of interest. In particular, air handling units 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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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
512-555-5555
nagy@utexas.edu

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