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A neural networks-based method for single-phase harmonic content identification
(2008-12-01)
A neural method is presented in this paper to identify the harmonic components of an ac controller. The components are identified by analyzing the single-phase current waveform. The method effectiveness is verified by ...
A neural networks-based method for single-phase harmonic content identification
(2008-12-01)
A neural method is presented in this paper to identify the harmonic components of an ac controller. The components are identified by analyzing the single-phase current waveform. The method effectiveness is verified by ...
Data Mining Applied to Harmonic Current Sources Identification in Residential Consumers
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2011)
This work proposes a method based on both preprocessing and data mining with the objective of identify harmonic current sources in residential consumers. In addition, this methodology can also be applied to identify linear ...
Neural-network-based approach applied to harmonic component estimation in microgrids
(2021-01-01)
Power quality in smart microgrids must be carefully analyzed, whereas adverse consequences may harm the electrical systems without power management and appropriate measures. The main goal of this paper is to develop a 5th, ...
Harmonic content identification based on neural method for single phase power systems
(2009-12-01)
An alternative method is presented in this paper to identify the harmonic components of non-linear loads in single phase power systems based on artificial neural networks. The components are identified by analyzing the ...
Harmonic content identification based on neural method for single phase power systems
(2009-12-01)
An alternative method is presented in this paper to identify the harmonic components of non-linear loads in single phase power systems based on artificial neural networks. The components are identified by analyzing the ...
Neural Network-Based Approach for Identification of the Harmonic Content of a Nonlinear Load in a Single-Phase System
(Institute of Electrical and Electronics Engineers (IEEE), 2010-03-01)
In this paper an alternative method based on artificial neural networks is presented to determine harmonic components in the load current of a single-phase electric power system with nonlinear loads, whose parameters can ...
Harmonic identification using parallel neural networks in single-phase systems
(ELSEVIER SCIENCE BV, 2011)
In this paper, artificial neural networks are employed in a novel approach to identify harmonic components of single-phase nonlinear load currents, whose amplitude and phase angle are subject to unpredictable changes, even ...