Semi-supervised multi-task learning based framework for power system security assessment
This paper develops a novel machine learning-based framework for the dynamic security assessment of power systems. It uses semi-supervised multi-task learning and produces accurate, reliable, and topological aware assessment of system stability. The learning algorithm underlying the proposed framewo...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | International Journal of Electrical Power & Energy Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525004582 |
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