Power system static security assessment under contingencies and load increases using artificial neural

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Bibliographic Details
Main Author:	Al-Masri, Ahmed Naufal A.
Format:	Thesis
Published:	2008
Subjects:	TK Electrical engineering Electronics Nuclear engineering
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id	my-utm-ep.36153
record_format	uketd_dc
spelling	my-utm-ep.361532013-12-26T09:17:51Z Power system static security assessment under contingencies and load increases using artificial neural 2008 Al-Masri, Ahmed Naufal A. TK Electrical engineering. Electronics Nuclear engineering 2008 Thesis http://eprints.utm.my/id/eprint/36153/ masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Al-Masri, Ahmed Naufal A. Power system static security assessment under contingencies and load increases using artificial neural
description
format	Thesis
qualification_level	Master's degree
author	Al-Masri, Ahmed Naufal A.
author_facet	Al-Masri, Ahmed Naufal A.
author_sort	Al-Masri, Ahmed Naufal A.
title	Power system static security assessment under contingencies and load increases using artificial neural
title_short	Power system static security assessment under contingencies and load increases using artificial neural
title_full	Power system static security assessment under contingencies and load increases using artificial neural
title_fullStr	Power system static security assessment under contingencies and load increases using artificial neural
title_full_unstemmed	Power system static security assessment under contingencies and load increases using artificial neural
title_sort	power system static security assessment under contingencies and load increases using artificial neural
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2008
_version_	1747816396138479616

Power system static security assessment under contingencies and load increases using artificial neural

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