Distortions identification and compensation based on artificial neural networks using symmetrical components of the voltages and the currents
type: Dataset
description: International audience
issued: 2026-05-09T16:20:08.646774
language: en
modified: 2026-05-09T16:20:08.646779
contact point: Organization
  fn: CCSD
keyword: active-power-filters
keyword: adaptive-control
keyword: artificial-neural-networks
keyword: harmonic-compensation
keyword: harmonic-detection
keyword: infoeu-reposemanticsarticle
keyword: infoinfo-tscomputer-science-cssignal-and-image-processing
keyword: journal-articles
keyword: power-quality
keyword: spisignalengineering-sciences-physicssignal-and-image-processing
landing page: 0378-7796

Distortions identification and compensation based on artificial neural networks using symmetrical components of the voltages and the currents
type: Distribution
format: HTML
issued: 2026-05-09T16:20:08.652063
modified: 2026-05-09T16:20:08.635468
access URL: https://hal.science/hal-00864160

test_moissonnage_selune
type: Agent