一种家庭能源数据现场标注系统

Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings Pub Date : 2013-11-11 DOI:10.1145/2528282.2528305

Sami Rollins, Nilanjan Banerjee, Lazeeb Choudhury, David Lachut

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引用次数: 3

摘要

这项工作提出了一个收集用户活动注释的系统，该系统使用家庭分布式能源监测，并结合一种新算法，该算法生成用于识别用户环境中潜在重要变化的特定设备配置文件。在对五个家庭进行的为期五周的研究中，该系统能够为80%的研究设备生成配置文件。此外，当准确区分背景负载时，可以识别出用户上下文中的4到5个重要变化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An In Situ System for Annotation of Home Energy Data

This work presents a system for collecting user activity annotations using in-home distributed energy monitoring combined with a novel algorithm that generates device-specific profiles used to identify potentially important changes in user context. In a five-week study of five homes, the system was able to generate profiles for 80% of the devices studied. Moreover, between four and five important changes in user context were identified when background loads were accurately distinguished.

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来源期刊

Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings

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