Metoda monitorowania obciążenia systemu energetycznego wykorzystująca transformatę S

Translated title of the contribution: Event-based S-transform approach for nonintrusive load monitoring

Khairuddin Khalid, Azah Mohamed, Hussain Shareef, Maytham Sabeeh

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

In this study, a nonintrusive load monitoring system is developed by analyzing the power signal obtained from a single point of power meter installation to detect ON/OFF load activities. A mathematically designed model with backpropagation neural network is utilized in load pattern recognition to decompose the load operation. Leveraging its unique load signature profile, the S-transform approach is employed to extract the features from the aggregate power signal and analyze the detection of load start-up transient from signal processing. To improve the accuracy of load identification for unknown data, the power factor is used as an additive feature with 99.32% load recognition accuracy.

Original languagePolish
Pages (from-to)194-198
Number of pages5
JournalPrzeglad Elektrotechniczny
Volume92
Issue number5
DOIs
Publication statusPublished - 1 Apr 2016

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Backpropagation
Pattern recognition
Signal processing
Mathematical transformations
Neural networks
Monitoring

Keywords

  • Artificial neural network
  • Feature extraction
  • Load recognition
  • S-transform

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Metoda monitorowania obciążenia systemu energetycznego wykorzystująca transformatę S. / Khalid, Khairuddin; Mohamed, Azah; Shareef, Hussain; Sabeeh, Maytham.

In: Przeglad Elektrotechniczny, Vol. 92, No. 5, 01.04.2016, p. 194-198.

Research output: Contribution to journalArticle

Khalid, Khairuddin ; Mohamed, Azah ; Shareef, Hussain ; Sabeeh, Maytham. / Metoda monitorowania obciążenia systemu energetycznego wykorzystująca transformatę S. In: Przeglad Elektrotechniczny. 2016 ; Vol. 92, No. 5. pp. 194-198.
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