Adaptive neuro-fuzzy inference system based total demand distortion factor for power quality evaluation-Reference-Cited by-同舟云学术

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Adaptive neuro-fuzzy inference system based total demand distortion factor for power quality evaluation

Published:2009-12 Issue:1-3 Volume:73 Page:315-323
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Rathina Prabha N.,Marimuthu N.S.,Babulal C.K.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference18 articles.

1. IEEE Recommended Practice and Requirements for Harmonic Control in Electric Power Systems, IEEE Std. 519-1992, April 1993.

2. IEEE Guide for Harmonic Control and Reactive Compensation of Static Power Converters, IEEE Std. 519-1981, April 1981.

3. Fuzzy Sets;Zadeh;Inf. Control,1965

4. Fuzzy Set Theory and Its Applications;Zimmermann,1996

5. A new fuzzy-based total demand distortion factor for non-sinusoidal situations;Morsi;IEEE Trans. Power Del.,2008

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4. Steady-State Power Quality Synthetic Evaluation Based on the Triangular Fuzzy BW Method and Interval VIKOR Method;Applied Sciences;2020-04-20

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