中国标准化Issue(5)：198-201,4.DOI:10.3969/j.issn.1002-5944.2025.05.033
基于人工智能的电器用电量分类计量方法优化
Optimization of Classification and Measurement Method for Electricity Consumption of Electrical Appliances Based on Artificial Intelligence
张丹丹 1钱慧营 1黄春荣 2刘婷2
作者信息
- 1. 山东省计量科学研究院
- 2. 山东省计量检测中心
- 折叠
摘要
Abstract
To distinguish the electricity consumption characteristics of different electrical appliances,energy consumption monitoring and optimization are carried out.This paper proposes an optimization method for electricity consumption classification and measurement based on the Convolutional Neural Network(CNN).Firstly,the shortcomings of traditional non-invasive load monitoring technology in load decomposition are analyzed.Then,the advantages of CNN in load classification are discussed in detail,especially in feature extraction and classification accuracy improvement in complex load scenarios.In order to verify the effectiveness of the method,this paper designed an experimental group and a control group.The experimental group used a CNN model,while the control group used a traditional load decomposition algorithm to classify the loads of five typical household appliances.The experimental results showed that the CNN-based optimization method was significantly better than the traditional method in all indicators,providing new technical support for smart grids and energy management systems.关键词
人工智能/电器用电量/分类计量Key words
artificial intelligence/electricity consumption of electrical appliances/classified metering引用本文复制引用
张丹丹,钱慧营,黄春荣,刘婷..基于人工智能的电器用电量分类计量方法优化[J].中国标准化,2025,(5):198-201,4.
