Three Techniques Based On Artificial Neural Networks for the Identification of Power System Harmonics A comparative Study
type: Dataset
description: International audience
landing page: International Review on Modeling and Simulation (I.RE.MO.S.)
keyword: adaline
keyword: artificial-neural-networks
keyword: harmonics
keyword: infoeu-reposemanticsarticle
keyword: infoinfo-tscomputer-science-cssignal-and-image-processing
keyword: journal-articles
keyword: power-system
keyword: real-time-learning
keyword: spisignalengineering-sciences-physicssignal-and-image-processing
keyword: training
issued: 2026-05-10T02:28:16.531339
modified: 2026-05-10T02:28:16.531344
language: en
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Three Techniques Based On Artificial Neural Networks for the Identification of Power System Harmonics A comparative Study
type: Distribution
format: HTML
access URL: https://hal.science/hal-00851867
issued: 2026-05-10T02:28:16.537866
modified: 2026-05-10T02:28:16.519709