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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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October 24, 2019, Filed Under: News

UT Sustainability Symposium

Dr Nagy speaks at UT's 8th Sustainability Symposium. We'll cover all the awesome projects that are going on in our lab in collaboration with campus entities. The full program is available here https://sustainability.utexas.edu/news/symposium.   Read more 

October 15, 2019, Filed Under: News

Open Position for Postdoctoral IoT Wizard

We have an immediate opening for a postdoctoral researcher with focus on Internet of Things (IoT) systems development and deployment. Apply here: https://utaustin.wd1.myworkdayjobs.com/UTstaff/job/UT-MAIN-CAMPUS/Postdoctoral-Fellow_R_00004742 This position is within the The Whole Communities Read more 

October 11, 2019, Filed Under: News

Welcome Alessandra!

We're welcoming Alessandra from the University of Brescia, Italy, as a visiting MSc student to our lab in the fall 2019 semester! She will be working on her MSc thesis involving the simulation of occupant centered control approaches. Read more 

September 20, 2019, Filed Under: GitHub

Occupancy detection and estimation

As occupants and their behaviors are responsible for a significant share of energy consumption, it is important to gather occupancy information for operating infrastructures efficiently. In fact, gathering and understanding occupancy patterns are considered as grand challenges for smart buildings 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 

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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

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