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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| Principais autores: | , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Wiley
2023-12-01
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| Serier: | IET Generation, Transmission & Distribution |
| Fag: | |
| Online adgang: | https://doi.org/10.1049/gtd2.13026 |
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