This project seeks to identify ways to inexpensively provide appliance-specific information about energy consumption in buildings, by applying signal processing and machine learning techniques to recognize appliance fingerprints.
(Intelligent Insfrastructure Research Lab)
The Intelligent Infrastructure Research Lab (INFERLab) is composed of a dedicated group of researchers at Carnegie Mellon University who are interested in rethinking and redesigning our built environment to improve its operational efficiency, as well as increase its resilience, adaptiveness and autonomy. In an increasingly resource-constrained world, our infrastructure systems will need to be able to interact with their environment and with each other in order to maximize their efficiency and minimize risks. Founded in 2011 by Dr. Mario Berges in the Civil and Environmental Engineering Department, the INFERLab is interested in undertaking research to help solve these problems.
What are we working on?
Hi! We have been working for a few weeks to get this site up and running and we are finally ready to open it up and share it with all of you. A great group…
More than 20% of the energy consumed by heating, ventilation and air-conditioning (HVAC) systems is wasted due to undetected faults in these systems. In the past three decades, researchers have developed hundreds of computer algorithms to automatically and continuously analyze…
Greetings from Toronto. Yesterday, Pine Liu presented our paper on IPAF at BuildSys. IPAF is an integrated performance analysis framework for HVAC systems on which Pine has been working for the past three years. The…