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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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May 2, 2022, Filed Under: News

Hagen Fritz invited to PhD Symposium

IEL's awesome PhD student Hagen Fritz has been selected out of an international pool of applicants as 1 of 15 PhD Symposium Fellows at the Durham School of Architectural Engineering and Construction PhD Symposium. He will present his work related to his recent publication regarding the effect of Read more 

April 29, 2022, Filed Under: News

EPRI AI Grand Challenge Kick-Off

Dr Nagy co-organizes the Electric Power Research Institute (EPRI)'s AI Grand Challenge on Grid Interactive Smart Communities. The activities include monthly meetings and quarterly webinars. The kick-off meeting took place on April 28th with two great presentations by Greg Wolfson, CTO Ecosmart Read more 

April 27, 2022, Filed Under: News

Dr Nagy joins program committee for ACM AMLIES

Dr Nagy joins the program committe for the ACM workshop on Applied Machine Learning for Intelligent Energy Systems (AMLIES) 2022 co-located with ACM e-Energy'22. Read more 

April 25, 2022, Filed Under: News

Dr Nagy joins BuildSys’22 OC as Workshop co-chair

Together with Dr Miller (NUS), Dr Nagy will be the Workshop co-chair for ACM BuildSys'22 the premier conference for smart infrastructure systems. The call for Workshops is now published here https://docs.google.com/document/d/1_B61nKnZXNiYRdKAtXnCbqjEAK-s0WcaCf5K1kNN8dw/edit?usp=sharing Proposal Read more 

April 25, 2022, Filed Under: News

New Paper: MARTINI: Smart meter driven estimation of HVAC schedules and energy savings based on Wi-Fi sensing and clustering

We have a new paper in Applied Energy led by IEL's awesome PhD student Kingsley Nweye. Kingsley Nweye, Zoltan Nagy, MARTINI: Smart meter driven estimation of HVAC schedules and energy savings based on Wi-Fi sensing and clustering, Applied Energy, Volume Read more 

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Research Highlight

Multi-Agent Reinforcement Learning for demand response & building coordination

We have introduced a new simulation environment that is the result of merging CitySim, a building energy simulator, and TensorFlow, a powerful machine 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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