Network observability: A solution technique using neural networks

Amit Jain, Yoshiyuki Kawazoe, R. Balasubramanian, S. C. Tripathy

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)

Abstract

A new method for the network observability solution of the power networks using the neural networks with quickprop as training algorithm is presented in this paper. The network observability problem related to the power network configuration or network topology, called as the topological observability, is taken for the solution. The topological network observability is determined using a neural network model, based on the quickprop algorithm, which uses the second order derivatives of the error function to speed up the learning. This neural network based method has been applied on sample power networks and results are presented.

Original languageEnglish
Pages1007-1011
Number of pages5
Publication statusPublished - 2003
EventIEEE TENCON 2003: Conference on Convergent Technologies for the Asia-Pacific Region - Bangalore, India
Duration: 2003 Oct 152003 Oct 17

Other

OtherIEEE TENCON 2003: Conference on Convergent Technologies for the Asia-Pacific Region
CountryIndia
CityBangalore
Period03/10/1503/10/17

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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