JOURNAL ARTICLE

Event-based Non-intrusive load real-time monitoring experimental platform

Na CaoHan LiQun Yu

Year: 2023 Journal:   Journal of Physics Conference Series Vol: 2477 (1)Pages: 012077-012077   Publisher: IOP Publishing

Abstract

Abstract To meet the transformation requirements of the new power system and promote the construction of a cyber-physical system. A non-intrusive load detection experimental platform is designed by using a USB data acquisition card and Matlab software. The platform is designed from several aspects such as hardware circuit, data acquisition, event detection algorithm, and load identification. A comprehensive evaluation method combining accuracy and real-time is proposed. The experimental platform has solidified typical load detection algorithms and customized algorithm expansion functions, allowing researchers to conduct innovative experiments as needed. The platform allows for the organic integration of theoretical and experimental, which not only meets the basic experimental needs but also provides an ideal platform for opening innovative and comprehensive experiments.

Keywords:
Data acquisition Computer science Event (particle physics) MATLAB USB Software Embedded system Real-time computing Identification (biology) Computer hardware Operating system

Metrics

1
Cited By
0.26
FWCI (Field Weighted Citation Impact)
3
Refs
0.53
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Smart Grid Security and Resilience
Physical Sciences →  Engineering →  Control and Systems Engineering
Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
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