Harmonic current classification using hybrid FAM-RBF neural network

Shoun Ying Leow, Keem Siah Yap, Shen Yuong Wong

Research output: Contribution to journalArticle

Abstract

In this paper, the type of customers of electricity in Malaysia is classified into the type of electricity consumers based on the harmonic current data. A hybrid of Fuzzy Adaptive Resonance Theory with Mapping Algorithm (Fuzzy ARTMAP) and Radial Basis Function (RBF) neural network is developed (namely FAM-RBF), and it is used to classify the harmonic current into types of consumers. The result of the proposed neural network is discussed, and compared with other neural networks in this paper. The comparison result shows that the proposed FAM-RBF obtained the best performance result and is a truthful neural network to be used in this application.

Original languageEnglish
Pages (from-to)1551-1558
Number of pages8
JournalIndonesian Journal of Electrical Engineering and Computer Science
Volume18
Issue number3
DOIs
Publication statusPublished - 01 Jan 2020

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All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications
  • Control and Optimization
  • Electrical and Electronic Engineering

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