This paper presents a novel Non-Intrusive Load Monitoring (NILM) approach focusing on the Energy Efficiency (EE) assessment of residential appliances. This approach (NILMEE) is able to identify the individual consumption of several household devices, providing proper information for evaluating energy efficiency and pointing out the operational issues or labelling mismatches of appliances, while recommending better practices for energy usage in specific consumer installations. The proposed approach was developed and evaluated by embedding the NILM engine on an electronic power meter, which performs a microscopic analysis on measured voltages and currents and provides the load disaggregation using the Conservative Power Theory for the feature extraction, K-Nearest Neighbours for the appliance classification, and the Power Signature Blob for the energy disaggregation. The disaggregation algorithm performance evaluation is carried out using NILMTK. Results show that NILM transcends the regular energy usage calculation, serving as a tool that enables the diagnosis of household appliances using the energy efficiency indexes provided by labels and standards.

中文翻译：

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基于NILM的家用电器能效评估方法

本文提出了一种新颖的非侵入式负载监控（NILM）方法，重点关注住宅设备的能效（EE）评估。这种方法（NILMEE）能够识别几种家用设备的个体消耗，为评估能效提供适当的信息，并指出操作问题或标记设备的不匹配，同时建议针对特定消费者安装中的能源使用的更好做法。通过将NILM引擎嵌入电子功率计中来开发和评估所提议的方法，该功率计对所测得的电压和电流进行微观分析，并使用保守功率理论对特征进行提取，并使用K近邻来提供负载分解。分类，以及用于能量分解的Power Signature Blob。使用NILMTK进行分解算法性能评估。结果表明，NILM超越了常规的能源使用量计算，可作为使用标签和标准提供的能效指标诊断家用电器的工具。