Intelligent deep learning-based dual-task approach for robust power quality event classification
Ensuring the stability and reliability of modern power systems relies on accurately detecting and classifying power quality (PQ) disturbances. This study presents an advanced automated recognition approach capable of identifying and classifying 14 distinct PQ event types, including voltage sags, swe...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-05-01
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| Series: | Energy Exploration & Exploitation |
| Online Access: | https://doi.org/10.1177/01445987241313195 |
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