Research on non-intrusive load identification technology

Xiaolu Liu; Sufang Huang

doi:10.1117/12.3049451

18 October 2024 Research on non-intrusive load identification technology

Xiaolu Liu, Sufang Huang

Proceedings Volume 13277, Sixth International Conference on Wireless Communications and Smart Grid (ICWCSG 2024); 132770G (2024) https://doi.org/10.1117/12.3049451
Event: 2024 6th International Conference on Wireless Communications and Smart Grid, 2024, Sipsongpanna, China

Abstract

This article mainly discusses the application of non-invasive load identification technology in electrical equipment monitoring. Through the research on key technologies such as load data collection, event detection, load feature extraction, and electrical equipment identification, accurate monitoring and analysis of the operating status of electrical equipment have been achieved. This technology has the advantages of non invasiveness, low cost, and strong real-time performance, providing important support for energy management and the development of smart grids.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaolu Liu and Sufang Huang "Research on non-intrusive load identification technology", Proc. SPIE 13277, Sixth International Conference on Wireless Communications and Smart Grid (ICWCSG 2024), 132770G (18 October 2024); https://doi.org/10.1117/12.3049451

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