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Semi-supervised multi-task learning based framework for power system security assessment

delete2025-07-29
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PRE
AI
M
Muhy Eddin Za’ter *
A
Amir Sajadi
B
Bri‐Mathias Hodge
DOI:10.1016/j.ijepes.2025.110910delete
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Abstract

Abstract

En 中文
• A Deep Learning based framework for power system security assessment. • Topological awareness via Similarity Index model. • Multi-task Semi-supervised learning algorithm for enhanced accuracy of power system security assessment.
Keywords:
Machine learning
Multi-tasking training
Power system stability
Power system security assessment

Journal

I
International Journal of Electrical Power and Energy Systems
IF:
5
Papers:
1.1W
Citations:
3.1W

Organization

U
university of colorado boulder
Scholars:
1.9W
Papers: 1.5W
Citations: 33