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NILM-based approach for energy efficiency assessment of household appliances

机译：基于尼尔的家用电器能效评估方法

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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.
机译：本文介绍了一种新的非侵入式负荷监测（NILM）方法，专注于住宅电器的能效（EE）评估。这种方法（Nilmee）能够识别多个家庭设备的个人消费，提供用于评估能量效率并指出设备的可操作问题的适当信息，同时推荐在特定消费者安装中的能源使用做出更好的实践。通过将尼芯发动机嵌入电子功率计上，开发和评估了所提出的方法，该电力计对测量的电压和电流进行微观分析，并使用保守电源理论为特征提取，K-Etcept邻居为设备提供负荷分解分类，以及能源分辨率的功率签名Blob。分解算法性能评估使用NILMTK进行。结果表明，尼尔将常规能源使用计算转换为一种工具，可以使用标签和标准提供的能效指标诊断家用电器。

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