Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/346711
Type: Artigo
Title: Evaluation of pattern recognition algorithms for applications on power factor compensation
Author: Moreira, A.C.
Paredes, H.K.M.
de Souza, W.A.
Nardelli, P.H.J.
Marafão, F.P.
da Silva, L.C.P.
Abstract: This paper assesses different applied pattern recognition algorithms to decide the most appropriate power factor compensator for a particular point of common coupling. Power factor, current unbalance factor, total demand distortion, voltage harmonic distortion and reactive power daily variation, as well as human expertise, are the key parameters used to set each recognition algorithm. These algorithms are then trained with a series of both simulation and experimental data. Numerical results consistently indicate the decision-tree algorithm with depth 20 as the best classifier for power factor improvement in terms of all metrics considered in this work
Subject: Reconhecimento de padrões
Country: Alemanha
Editor: Springer
Rights: Aberto
Identifier DOI: 10.1007/s40313-017-0352-9
Address: https://link.springer.com/article/10.1007%2Fs40313-017-0352-9
Date Issue: 2018
Appears in Collections:FEEC - Artigos e Outros Documentos

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