Structural Approach to Convolutional Neural Network Trained With Novel Scaled Matrix Image for Pseudo Real-Time Power Quality Event Monitoring

The trend of integrating different distributed generation sources into the existing grid have increased the probability of power quality disturbances to a threatening level. Eventually, detection, protection and mitigation of these disturbances are even more challenging. In this regard, the article...

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Autori principali:	Sairam Mishra, Ranjan Kumar Mallick, Debadatta Amaresh Gadanayak, Pravati Nayak, Renu Sharma, Aymen Flah, Lukas Prokop, Habib Kraiem, Mohammad Kanan
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2024-01-01
Serie:	IEEE Access
Soggetti:	Convolutional neural network deep learning power quality disturbance classification scaled matrix image unique Clark’s transformed sequence
Accesso online:	https://ieeexplore.ieee.org/document/10643039/
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