Initial condition based real time classification of power quality disturbance using deep convolution neural network with bidirectional long short‐term memory

Abstract The accurate classification of power quality disturbances (PQDs) is crucial for advancing real‐time monitoring and classification systems within the modern power grid. The proposed system must ensure dependable, safeguarded, and stable operating conditions amidst diverse power quality issue...

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Váldodahkkit:	Prabaakaran Kandasamy, Chandrasekaran Kumar, Muthuramalingam Lakshmanan, Selvaraj Jaisiva, Albert Alexander Stonier, Geno Peter, Vivekananda Ganji
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Wiley 2023-12-01
Ráidu:	IET Generation, Transmission & Distribution
Fáttát:	convolutional neural nets power quality/harmonics
Liŋkkat:	https://doi.org/10.1049/gtd2.13026
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