Abstract
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.
Highlights
The rapid economic growth over the past few decades has been accompanied by a series of environmental problems
This paper explores an energy efficiency assessment of residential users, constructs a family energy efficiency indicator system, and proposes a household energy efficiency assessment method based on non-intrusive load monitoring (NILM) data
(3) There are a large number of identifiable electrical appliances and their unique properties in non-invasive load monitoring, so this paper provides a dimensionality reduction strategy based on the principal component analysis method, which classifies users through k-means, and the entropy weight method and TOPSIS method are combined to make a comprehensive and accurate analysis of power consumption manner
Summary
The rapid economic growth over the past few decades has been accompanied by a series of environmental problems. It is important to improve the energy efficiency of residents by establishing energy efficiency evaluation index systems and evaluation methods In this way, the level of household electricity consumption can be measured, and users can be guided to use electricity reasonably by providing a scientific basis for the optimal dispatch of DSM by electric power companies [1]. Sci. 2020, 10, 3820 energy efficiency assessment can be conducted for different user groups to guide their rational use of electricity so as to reduce energy consumption by combining information on local climate, users’ conditions, and electricity prices This will generate corresponding economic benefits and bring social benefits to the reform of the power system.
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