Analysis of electrical losses in transformers using artificial neural networks

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dc.contributor.authorSuttisinthong, N.
dc.contributor.authorPothisarn, C.
dc.date.accessioned2026-08-06T10:08:09Z
dc.date.available2026-08-06T10:08:09Z
dc.date.issued2014-01-01
dc.description.abstractThis paper proposes a technique to analysis electrical losses in distribution transformers 1-phase 30 kVA using of back-propagation neural networks (BPNN). Experimental data at various temperature of transformers obtained from manufacturer, are employed as an input pattern for BPNN while output pattern which corresponding to total losses in transformers. The total number of test set are 150 sets in order to verify the validity of the proposes technique. The results show that average accuracy obtained from the proposes technique gives satisfactory accuracy.
dc.identifier.citationLecture Notes in Engineering and Computer Science, 2210(January), 2014
dc.identifier.issn20780958
dc.identifier.other2-s2.0-84938326476
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/5297
dc.sourceLecture Notes in Engineering and Computer Science
dc.subjectNeural networks
dc.subjectPower transformer
dc.subjectTransformer loss
dc.titleAnalysis of electrical losses in transformers using artificial neural networks
dc.typeConference Paper

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