An imbalanced deep learning framework for pre-fault flexible multi-zone dynamic security assessment via transfer learning based graph convolutional network
Deep learning (DL)-based pre-fault dynamic security assessment (DSA) methods have shown promising results. However, DL-based DSA faces challenges related to model robustness against topology changes and database imbalances. Although an accurate model can be trained for a particular topology, it ofte...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025002609 |
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