Behavior-Based Detection of Abnormal Power Consumption for Power Saving
Behavior-Based Detection of Abnormal Power Consumption for Power Saving
复制标题
基于行为的异常用电检测以实现节能
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Jane Yung
中科院分区：
文献类型：
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作者：
Chiao;Yi;Jane Yung
误操作是由不正确或不适当的行为或设备故障引起的。它们可能导致电力浪费和安全隐患。介绍了一种基于电能表的便利店用电异常检测的家电管理系统。我们的系统通过历史行为模型检测异常功耗。采用广义极端学生化偏差（GESD）和回归方法建立行为模型。基于行为的异常检测方法可以帮助防止这些浪费和安全问题，并改善电器管理以实现节能。
Abnormalities are caused by incorrect or inappropriate behaviors or appliance malfunctions. They may lead to electricity waste and safety hazards. This paper describes a novel appliance management system for detecting abnormal power consumption in convenience stores based on power meters. Our system detects abnormal power consumption through historical behavior models. Generalized extreme studentized deviate (GESD) and regression methods are applied to build behavior models. The behavior based abnormal detection methods can assist in preventing these waste and safety problems and improve the appliance management to achieve power saving.