Proactive Critical Energy Infrastructure Protection via Deep Feature Learning
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- Gwanggil Jeon, 2022. "Artificial Intelligence Approaches for Energies," Energies, MDPI, vol. 15(18), pages 1-3, September.
- Tabassum, Tambiara & Toker, Onur & Khalghani, Mohammad Reza, 2024. "Cyber–physical anomaly detection for inverter-based microgrid using autoencoder neural network," Applied Energy, Elsevier, vol. 355(C).
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Keywords
SCADA Anomaly Detection; cyberphysical systems; semi-supervised anomaly detection; sparse stacked autoencoders; deep feature learning;All these keywords.
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