A neural network framework for predicting transformer core losses

Georgilakis, P; Hatziargyriou, N; Doulamis, A; Doulamis, N; Kollias, S

dc.contributor.author	Georgilakis, P	en
dc.contributor.author	Hatziargyriou, N	en
dc.contributor.author	Doulamis, A	en
dc.contributor.author	Doulamis, N	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:48:42Z
dc.date.available	2014-03-01T02:48:42Z
dc.date.issued	1999	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34025
dc.subject	Adaptive Learning	en
dc.subject	Group Process	en
dc.subject	Iron	en
dc.subject	Magnetic Materials	en
dc.subject	Network Performance	en
dc.subject	Decision Tree	en
dc.subject	Neural Network	en
dc.title	A neural network framework for predicting transformer core losses	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/PICA.1999.779511	en
heal.identifier.secondary	http://dx.doi.org/10.1109/PICA.1999.779511	en
heal.publicationDate	1999	en
heal.abstract	In this paper a neural network based framework is developed for predicting core losses of wound core distribution transformers at the early stages of transformer construction. The proposed framework is also used to improve the grouping process of the individual cores so as to reduce the variation in core loss of assembled transformer. Several neural network structures and the respective	en
heal.journalName	Power Industry Computer Application Conference	en
dc.identifier.doi	10.1109/PICA.1999.779511	en