LSTM Networks for Cyber-physical Attack Diagnoses in Microgrids
Author:
Affiliation:
1. Université de Haute-Alsace,IRIMAS UR7499,Mulhouse,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10227852/10227910/10228034.pdf?arnumber=10228034
Reference19 articles.
1. Experimental HIl implementation of RNN for detecting cyber physical attacks in AC microgrids
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3. Stability of discrete-time feed-forward neural networks in NARX configuration
4. Performance Comparison of NARX & RNN-LSTM Neural Networks for LiFePO4 Battery State of Charge Estimation
5. Machine Learning in Power Systems: Is It Time to Trust It?
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1. A Review of AI-Based Cyber-Attack Detection and Mitigation in Microgrids;Energies;2023-11-18
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