We collected a building energy dataset (2 years, hourly data) of unprecedented size (3829 buildings) and variety (75 programs). And using machine learning, we discovered three fundamental load shape profiles that characterize the temporal energy use in any of the buildings. The existence of Read more
2019 ASHRAE Winter Conference
IEL is presenting two seminar talks at the 2019 ASHRAE Winter conference in Atlanta. PhD student Jose, is presenting: Sunday, January 13, 2019 Seminar 15: Presentation 2: LightLearn: Reinforcement Learning for Occupant Centered Control and Controller Performance Metrics 11:20AM–11:40AM, GWCC, Read more
Undergraduate research opportunities on EUREKA
Are you interested in smart buildings and smart cities? Bridging data science with building science? We have several awesome projects going on for which we're looking for undergraduate researchers. Ideally, you have a background in EE, ECE or CS and enjoy programming and/or IoT hacking. Here are two Read more
Megan defends her MS thesis
Our awesome masters student Megan defended her thesis last week with a presentation at the UT Facilities Services. For her thesis in Sustainable Systems, Megan analyzed data from all buildings of the UT campus (100+) and devised an algorithm for fault detection in air-handling units. Her work will Read more
Fusing TensorFlow with CitySim for Smart Cities
The journal Sustainable Cities and Society has published our paper Fusing TensorFlow with building energy simulation for intelligent energy management in smart cities led by our awesome PhD student Jose. We have developed CitySim, a framework to study multi-agent reinforcement learning using Read more
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