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Appliance-level demand identification through signature analysis

机译：通过签名分析的器具级需求识别

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Appliance specific load monitoring is very useful in energy management solutions that are becoming a challenging task with growing energy demand. It facilitates appliance recognition and load monitoring such that optimum resource utilization can be achieved by correct appliance scheduling. In this paper we present a study of non-intrusive load recognition using steady state appliance signatures for identifying commonly used household appliances. Current harmonics, active and reactive power components acquired from data loggers are used as appliance signature in this study. This analysis enables the capability of providing detailed information on appliances in use and consumers could benefit from customized energy management recommendations. Also, suppliers could implement smart metering technology introducing appliance level information as well. We propose algorithms for non-intrusive load recognition using combination of several methods and techniques. It was seen that a higher accuracy of identification could be achieved when a combination of techniques are used rather than using a single technique.
机译：设备特定负载监测在能源管理解决方案中非常有用，这是具有不断增长的能源需求的具有挑战性的任务。它便于设备识别和负载监控，使得可以通过正确的设备调度来实现最佳资源利用率。在本文中，我们使用稳态设备签名来展示非侵入式负载识别，用于识别常用的家用电器。从数据记录器获取的电流谐波，主动和无功功率分量用作本研究中的设备签名。该分析使得能够提供有关使用中设备的详细信息，消费者可以从定制的能源管理建议中受益。此外，供应商也可以实现智能计量技术，也可以引入设备级信息。我们使用多种方法和技术的组合提出了用于非侵入式负载识别的算法。可以看出，当使用技术的组合而不是使用单一技术时，可以实现更高的识别精度。

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