In this research project, we explore the problem of accurate energy estimation for multi-state appliances through automated learning of appliance models, as it applies to supervised Non Intrusive Load Monitoring.
(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…
Residential electricity users need more detail than monthly bills to reduce consumption. With the emergence of technologies that provide detailed usage estimates for energy consumption, two questions arise. First, how many different energy-consuming appliances contribute…