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.
@article{arxiv.2209.00987,
title = {A Dataset and Baseline Approach for Identifying Usage States from Non-Intrusive Power Sensing With MiDAS IoT-based Sensors},
author = {Bharath Muppasani and Cheyyur Jaya Anand and Chinmayi Appajigowda and Biplav Srivastava and Lokesh Johri},
journal= {arXiv preprint arXiv:2209.00987},
year = {2022}
}
Comments
6 pages, power data, state identification, Accepted to appear - Nov 2022