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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主要な著者:	Prabaakaran Kandasamy, Chandrasekaran Kumar, Muthuramalingam Lakshmanan, Selvaraj Jaisiva, Albert Alexander Stonier, Geno Peter, Vivekananda Ganji
フォーマット:	Artigo
言語:	Inglês
出版事項:	Wiley 2023-12-01
シリーズ:	IET Generation, Transmission & Distribution
主題:	convolutional neural nets power quality/harmonics
オンライン･アクセス:	https://doi.org/10.1049/gtd2.13026
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