Bootstrap feature extraction technique for neural network based ATC assessment

M. M. Othman, Azah Mohamed, A. Hussein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a bootstrap feature extraction technique which is used to intensify the generalizing ability of neural network to accurately quantify the interarea available transfer capability (ATC). For ATC assessment, the neural network method with the Levenberg-Marquardt modified back-propagation algorithm is used. To investigate the effectiveness of the proposed bootstrap feature extraction technique, a comparison is made with discrete Fourier transform and sensitivity techniques as a means of extracting or selecting the neural network input features. A case study is performed on the Malaysian power system to illustrate the effectiveness of the proposed bootstrap technique.

Original languageEnglish
Title of host publicationIPEC 2003 - 6th International Power Engineering Conference
Pages865-870
Number of pages6
Publication statusPublished - 2003
EventIPEC 2003 - 6th International Power Engineering Conference -
Duration: 27 Nov 200329 Nov 2003

Other

OtherIPEC 2003 - 6th International Power Engineering Conference
Period27/11/0329/11/03

Fingerprint

Feature extraction
Neural networks
Backpropagation algorithms
Discrete Fourier transforms

Keywords

  • Artificial neural network
  • Available transfer capability
  • Bootstrap feature extraction

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Othman, M. M., Mohamed, A., & Hussein, A. (2003). Bootstrap feature extraction technique for neural network based ATC assessment. In IPEC 2003 - 6th International Power Engineering Conference (pp. 865-870). [P1129]

Bootstrap feature extraction technique for neural network based ATC assessment. / Othman, M. M.; Mohamed, Azah; Hussein, A.

IPEC 2003 - 6th International Power Engineering Conference. 2003. p. 865-870 P1129.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Othman, MM, Mohamed, A & Hussein, A 2003, Bootstrap feature extraction technique for neural network based ATC assessment. in IPEC 2003 - 6th International Power Engineering Conference., P1129, pp. 865-870, IPEC 2003 - 6th International Power Engineering Conference, 27/11/03.
Othman MM, Mohamed A, Hussein A. Bootstrap feature extraction technique for neural network based ATC assessment. In IPEC 2003 - 6th International Power Engineering Conference. 2003. p. 865-870. P1129
Othman, M. M. ; Mohamed, Azah ; Hussein, A. / Bootstrap feature extraction technique for neural network based ATC assessment. IPEC 2003 - 6th International Power Engineering Conference. 2003. pp. 865-870
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