Recent News
The CityLearn Challenge—Sign Up now!
We are now opening the period to sign up for the CityLearn Challenge of multi-agent reinforcement learning for intelligent energy management and Read more
CityLearn Challenge Launched
We are super excited to release the CityLearn Challenge today at Buildsys. If you are a researcher working on multi-agent reinforcement learning in Read more
Buildsys 2019 — New York
We are presenting a paper, a poster and a demo at this year’s Buildsys in New York. June is presenting a notes paper : Good to see you again: Read more
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 Read more
Recent Publications
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 Read more
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 Read more
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 Read more
- Artificial Neural Network‐Based Framework for Developing Ground‐Motion Models for Natural and Induced Earthquakes in Oklahoma, Kansas, and Texas
- Temperature-preference learning with neural networks for occupant-centric building indoor climate controls
- Apples or Oranges? New benchmarking paper published in Applied Energy
IEL Gallery
![June hanging with the IEA Annex 79 crown in Ottawa [find him]](https://nagy.caee.utexas.edu/files/2019/01/group-photo-ottawa-trimmed-1024x565.jpg){kind=link}
