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Feature Reduction for Neural Network based Small-Signal Stability Assessment, PSCC 2002, Sevilla, Spain, June 24-28, 2002

This paper introduces several feature extraction and selection techniques.Previous studies showed good results when neural networks are applied to the small-signal stability assessment. However the use of reduction techniques can decrease the number of features and thus the number of quantities, which need to be observed, measured and transmitted, respectively.

Identiferoai:union.ndltd.org:DUETT/oai:DUETT:duett-04142003-142255
Date14 April 2003
CreatorsTeeuwsen, S.P.; Erlich, I.; El-Sharkawi, M.A.
Contributorsnone
PublisherGerhard-Mercator-Universitaet Duisburg
Source SetsDissertations and other Documents of the Gerhard-Mercator-University Duisburg
LanguageGerman
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://www.ub.uni-duisburg.de/ETD-db/theses/available/duett-04142003-142255/
Rightsunrestricted, I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. Hiermit erteile ich der Universitaet Duisburg das nicht-ausschliessliche Recht unter den unten angegebenen Bedingungen, meine Dissertation, Staatsexamens- oder Diplomarbeit, meinen Forschungs- oder Projektbericht zu veroeffentlichen und zu archivieren. Ich behalte das Urheberrecht und das Recht das Dokument zu veroeffentlichen und in anderen Arbeiten weiterzuverwenden.

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