Decentralized Detection and Mitigation of False Data Injection Attacks in DC Microgrids Using Artificial Neural Network
Cooperative and distributed control strategies for direct current (DC) microgrids have made significant advancements in recent years. However, integrating a cyber layer to enhance resilience, scalability, and reliability also exposes the system to potential cyberattacks. This paper leverages data-dr...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11104082/ |
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