Cybersecurity of smart grids: Comparison of machine learning approaches training for anomaly detection
Objectives. The transformation of modern electric grids into decentralized smart grids presents new challenges in the field of cybersecurity. The purpose of this work is to conduct research and analysis into the effectiveness of different machine-learning methods for identifying anomalies in decentr...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | Russian |
| Published: |
MIREA - Russian Technological University
2024-12-01
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| Series: | Российский технологический журнал |
| Subjects: | |
| Online Access: | https://www.rtj-mirea.ru/jour/article/view/1025 |
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