Active Hard Sample Learning for Violation Action Recognition in Power Grid Operation
Power grid operation occurs in complex, dynamic environments where the timely identification of operator violations is essential for safety. Traditional methods often rely on manual supervision and rule-based detection, leading to inefficiencies. Existing deep learning approaches, while powerful, re...
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Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
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Series: | Information |
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Online Access: | https://www.mdpi.com/2078-2489/16/1/67 |
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