A Dataset and Baseline Approach for Identifying Usage States from Non-Intrusive Power Sensing With MiDAS IoT-based Sensors
The state identification problem seeks to identify power usage patterns of
any system, like buildings or factories, of interest. In this challenge paper,
we make power usage dataset available from 8 institutions in manufacturing,
education and medical institutions from the US and India, and an initial
un-supervised machine learning based solution as a baseline for the community
to accelerate research in this area.