Research on Security Risk Prediction Technology of Electric Power Monitoring System under OT and IT Convergence
In the quest for more secure power grids, this paper delves into the vital role of power monitoring systems and the burgeoning field of safety risk prediction. Traditional prediction methodologies falter due to slow computation and lackluster accuracy. Enter the XGBoost algorithm, hailed for its ste...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns-2024-0808 |