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Intelligent Environments Laboratory's Projects

bevo-pycom icon bevo-pycom

Micropython implementation of OCC project with LoRaWAN and TTN integration

bevo_iaq icon bevo_iaq

BEVO Beacon with more robust air quality monitoring

bevo_trh icon bevo_trh

All files, code, and documentation pertaining to a simplified bevo beacon that accurately measures temperature and relative humidity.

bevobeacon-rd icon bevobeacon-rd

Repository for documentation related to research and development of the various versions of the BEVO Beacon

bleed-orange-measure-iaq icon bleed-orange-measure-iaq

Data and analysis relateted to the Bleed Orange, Measure IAQ campaign at the University of Texas at Austin

citydnn icon citydnn

Surrogate model using deep neural networks that allows estimating the heating and cooling loads of buildings at the urban scale.

citylearn icon citylearn

Official reinforcement learning environment for demand response and load shaping

dashboard icon dashboard

Dashboard showcasing Covid-19 research by the Intelligent Environments Lab at UT Austin

rlem-workshop.net icon rlem-workshop.net

RLEM brings together researchers and industry practitioners for the advancement of (deep) reinforcement learning (RL) in the built environment as it is applied for managing energy in civil infrastructure systems (energy, water, transportation).

tcad icon tcad

Download and parse Travis County Apprasal District export files

utx000 icon utx000

Analysis related to the many studies under the UTx000 banner, a project under the Whole Communities, Whole Health initiative.

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