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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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September 4, 2019, Filed Under: News

Silver Paper Award at CISBAT 2019 in Lausanne!

Our awesome students Jose and Julien are heading to Switzerland to present our newest research at CISBAT 2019. We showcase progress in the following papers: Update: Jose received the Silver Paper Award for his work on deep neural networks!! [poster] Demir et al. "Embodied versus operational Read more 

September 2, 2019, Filed Under: News

IBPSA BuildingSimulation 2019 in Rome

Our awesome PhD students Jose and June are heading to Rome to present our latest research on urban energy simulations and predictive algorithms. IEL showcases four papers at BS2019 (http://buildingsimulation2019.org): [oral] Aguirre et al. "Electric Energy Consumer Characterization, Read more 

August 20, 2019, Filed Under: News

LightLearn nominated for GEC Catalyst Award 2019

Our LightLearn project on smart adaptive & occupant centered lighting control led by IEL's awesome PhD student June has been nominated for a Catalyst Award 2019 by the Green Electronics Council. https://greenelectronicscouncil.org/awards-events/gec-catalyst-awards/ The GEC Catalyst Awards Read more 

August 7, 2019, Filed Under: News

Intelligent Building Operations Workshop

Jose is heading to Boulder, CO, to present his work at the Intelligent Building Operations (IBO) Workshop. IBO-Boulder will focus on theoretical foundations, novel modeling approaches, and algorithmic advances, and will be hosted by RASEI (the Renewable and Sustainable Energy Institute between the Read more 

August 5, 2019, Filed Under: News

BEVO Beacon measures emissions during cooking TACO fillings

Our environmental measurement beacon BEVO has travelled in the backpack of Dr Maestre to Toronto, to the Gathering for Open Science Hardware (GOSH, 2019), and, most importantly, measured the particulate matter emissions during cooking of Taco Fillings. See for yourself: 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 !

Tags

air handling unit Annex 79 architecture artificial neural network Bluetooth 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 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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