dc.contributor.author |
Gavoyiannis, AE |
en |
dc.contributor.author |
Vogiatzis, DG |
en |
dc.contributor.author |
Georgiadis, DP |
en |
dc.contributor.author |
Hatziargyriou, ND |
en |
dc.date.accessioned |
2014-03-01T02:41:46Z |
|
dc.date.available |
2014-03-01T02:41:46Z |
|
dc.date.issued |
2001 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/30618 |
|
dc.subject |
Combining Classifier |
en |
dc.subject |
Electric Power System |
en |
dc.subject |
Fuzzy C Means Clustering |
en |
dc.subject |
Fuzzy Clustering |
en |
dc.subject |
Pattern Recognition |
en |
dc.subject |
Power System |
en |
dc.subject |
Security Assessment |
en |
dc.subject |
Support Vector Classifier |
en |
dc.subject |
Test Bed |
en |
dc.subject.other |
Algorithms |
en |
dc.subject.other |
Fuzzy sets |
en |
dc.subject.other |
Learning systems |
en |
dc.subject.other |
Neural networks |
en |
dc.subject.other |
Pattern recognition |
en |
dc.subject.other |
Regression analysis |
en |
dc.subject.other |
Trees (mathematics) |
en |
dc.subject.other |
Dynamic security assessment |
en |
dc.subject.other |
Fuzzy clustering algorithms |
en |
dc.subject.other |
Support vector classifiers |
en |
dc.subject.other |
Electric power systems |
en |
dc.title |
Combined support vector classifiers using fuzzy clustering for dynamic security assessment |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/PESS.2001.970257 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/PESS.2001.970257 |
en |
heal.publicationDate |
2001 |
en |
heal.abstract |
This paper addresses the problem of dynamic security classification of electrical power systems using class pattern recognition with a system of combined classifiers, where each classifier is a Support Vector Classifier (SVC) and each of the SVCs is trained on a subset of the data. The subsets are specified by the Fuzzy C-Means clustering algorithm (FCM). The strength of the combined classifier stems from the combination of the single classifiers. As a test-bed we have used real data from the power system of Crete, Greece. |
en |
heal.journalName |
Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference |
en |
dc.identifier.doi |
10.1109/PESS.2001.970257 |
en |
dc.identifier.volume |
2 |
en |
dc.identifier.issue |
SUMMER |
en |
dc.identifier.spage |
1281 |
en |
dc.identifier.epage |
1286 |
en |