A Feature Extraction Method for Non-intrusive Load Identification. Issue 1 (1st February 2022)

• Record Type: Journal Article
• Authors: Wei, Wei; Peng, Tao; Ye, Li; Feng, Xianyu; Jiang, Zisong; Yu, Heyang
• Is Part Of: Journal of physics. Volume 2195:Issue 1(2022)
• Publication Date: 2022-02-01
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2195/1/012008
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: When some household appliances are running, the electrical quantities such as active power and reactive power will change slowly for a long time, which will affect the feature extraction of event-based non-intrusive load identification, resulting in low accuracy of load identification results. In view of this situation, a feature extraction method is proposed. Its core idea is that there is a certain law in the change of active power and reactive power in a very short time, and the curve can be fitted to speculate the values of these electrical quantities in the next time, so as to eliminate the influence. Based on this, a feature extraction method applied to non-intrusive load identification is realized. The test results show that this method can effectively improve the accuracy of non-intrusive load identification feature extraction data, and has good application value.