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- W2074496836 abstract "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 in steady-state. The first six harmonic current components are identified through the variation analysis of waveform characteristics. The effectiveness of this method is tested by applying it to the model of a single-phase active power filter, dedicated to the selective compensation of harmonic current drained by an AC controller. Simulation and experimental results are presented to validate the proposed approach." @default.
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- W2074496836 date "2011-03-01" @default.
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- W2074496836 title "Harmonic identification using parallel neural networks in single-phase systems" @default.
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- W2074496836 doi "https://doi.org/10.1016/j.asoc.2010.07.017" @default.
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