论文标题
通过基于MIDAS IOT的传感器，一种数据集和基线方法，用于识别非侵入性功率传感的用法状态
A Dataset and Baseline Approach for Identifying Usage States from Non-Intrusive Power Sensing With MiDAS IoT-based Sensors
论文作者
论文摘要
国家识别问题旨在确定任何系统（例如建筑物或工厂）感兴趣的电力使用模式。在这篇挑战论文中，我们从美国和印度的8个制造，教育和医疗机构的机构中提供了电力使用数据集，以及最初的基于机器学习的解决方案，作为社区加速该领域研究的基准。
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.
