Core Power Losses Estimation of Wound Core Distribution Transformers with Support Vector Machines

Passadis, K; Loizos, G

dc.contributor.author	Passadis, K	en
dc.contributor.author	Loizos, G	en
dc.date.accessioned	2014-03-01T01:57:45Z
dc.date.available	2014-03-01T01:57:45Z
dc.date.issued	2009	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/28518
dc.subject	Energy Efficient	en
dc.subject	Support Vector Machine	en
dc.subject	Neural Network	en
dc.title	Core Power Losses Estimation of Wound Core Distribution Transformers with Support Vector Machines	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/IWSSIP.2009.5367762	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IWSSIP.2009.5367762	en
heal.publicationDate	2009	en
heal.abstract	Accurate estimation of the core power losses in the transformer design is essential. It saves engineering man-hours, reduces delivery cycle, optimizes the use of core materials and maximizes energy efficiency. The aim of this paper is to demonstrate how support vector machines method can be used in regression mode to estimate core power losses. The findings of this work and	en
dc.identifier.doi	10.1109/IWSSIP.2009.5367762	en