An online learning method for assessing smart grid stability under dynamic perturbations
Abstract The increasing complexity of smart grid (SG) systems necessitates advanced methodologies to ensure their stability and reliability. In this work, we propose a novel online learning framework that leverages the Bee Algorithm for Ensemble Learning (BAEL) with dynamic perturbations to enhance...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-94718-3 |
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