Three Techniques Based On Artificial Neural Networks for the Identification of Power System Harmonics A comparative Study

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Source International Review on Modeling and Simulation (I.RE.MO.S.)
Author Blorfan, Ayman, Merckle, Jean, Flieller, Damien, Wira, Patrice, Sturtzer, Guy
Maintainer CCSD
Last Updated May 10, 2026, 02:28 (UTC)
Created May 10, 2026, 02:28 (UTC)
Identifier hal-00851867
Language en
contributor Modélisation, Intelligence, Processus et Système (MIPS) ; Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))
creator Blorfan, Ayman
date 2011-05-10T00:00:00
harvest_object_id 869af550-b19b-4808-abfd-9917f1bafa63
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-04-08T00:00:00
set_spec type:ART