The user side of sustainability: Modeling behavior and energy usage in the home
The user side of sustainability: Modeling behavior and energy usage in the home
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DOI：
10.1016/j.pmcj.2012.10.004
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发表时间：
2013-02-01
影响因子：
4.3
通讯作者：
Crandall, Aaron S.
中科院分区：
文献类型：
--
作者：
Chen, Chao;Cook, Diane J.;Crandall, Aaron S.
社会越来越意识到我们的生活方式选择对能源使用和环境的影响。因此，研究的重点转向了绿色技术、环境友好型建筑设计和智能电网。本文着眼于可持续性的用户方面。特别地，它着眼于日常家庭环境中的能源消耗，以检验行为模式和能源消耗之间的关系。它首先展示了如何使用数据挖掘技术来发现基于智能家庭的能源数据中的模式和异常。接下来，它描述了一种将家庭活动与用电量联系起来的方法。最后，它描述了这些信息如何告知用户他们的个人能源消耗情况，并以更节能的方式支持活动。通过使用一组智能家居试验台收集的真实能源数据，验证了这些方法。(C) 2012 Elsevier B.V.版权所有
Society is becoming increasingly aware of the impact that our lifestyle choices make on energy usage and the environment. As a result, research attention is being directed toward green technology, environmentally-friendly building designs, and smart grids. This paper looks at the user side of sustainability. In particular, it looks at energy consumption in everyday home environments to examine the relationship between behavioral patterns and energy consumption. It first demonstrates how data mining techniques may be used to find patterns and anomalies in smart home-based energy data. Next, it describes a method to correlate home-based activities with electricity usage. Finally, it describes how this information could inform users about their personal energy consumption and to support activities in a more energy-efficient manner. These approaches are validated by using real energy data collected in a set of smart home testbeds. (C) 2012 Elsevier B.V. All rights reserved.