Various countries in the world are vigorously developing energy-saving industries and attaching importance to the improvement of household energy efficiency, but it is difficult to evaluate user power consumption characteristics due to insufficient information and large data granularity. It is, however, possible to evaluate the energy efficiency of household users via non-intrusive load monitoring (NILM). This paper explores the energy efficiency assessment of residential users and proposes a household energy efficiency assessment method based on NILM data. An energy efficiency assessment index of residents is provided by analyzing factors that affect residents’ energy efficiency. This index is clear, operable, and easy to obtain and quantify. Based on NILM information, clustering, and comprehensive evaluation, as well as combining the entropy weight method with the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), a user’s energy efficiency can be evaluated and analyzed. Some case studies are provided to verify the validity of the proposed method based on non-intrusive information, to analyze the characteristics and deficiencies of the user’s energy consumption, and to give corresponding energy recommendations.

中文翻译：

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基于非侵入式负荷监测数据的家庭能效指标评估方法

世界各国都在大力发展节能产业，重视提高家庭能效，但由于信息不足、数据粒度大，难以评价用户用电特性。但是，可以通过非侵入式负载监测 (NILM) 来评估家庭用户的能源效率。本文探讨了住宅用户能效评估，提出了一种基于NILM数据的家庭能效评估方法。通过分析影响居民能源效率的因素，提供居民能源效率评价指标。该指标清晰、可操作、易于获取和量化。基于NILM信息，聚类，综合评价，以及将熵权法与通过与理想解决方案相似的顺序偏好技术（TOPSIS）相结合，可以评估和分析用户的能源效率。提供了一些案例研究，以基于非侵入性信息验证所提出方法的有效性，分析用户能源消耗的特征和不足，并给出相应的能源建议。