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20232025
most citedAI-Enhanced Inverter Fault and Anomaly Detection System for Distributed Energy Resources in Microgrids

1 citations · 2 across the 5 of their papers we have counts for

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eess.SY2025

F2GAN: A Feature-Feedback Generative Framework for Reliable AI-Based Fault Diagnosis in Inverter-Dominated Microgrids

Swetha Rani Kasimalla, Kuchan Park, Junho Hong +1

Enhancing the reliability of AI based fault diagnosis in inverter dominated microgrids requires diverse and statistically balanced datasets. However, the scarcity and imbalance of…

eess.SY2025

Deep Learning-Enabled System Diagnosis in Microgrids: A Feature-Feedback GAN Approach

Swetha Rani Kasimalla, Kuchan Park, Junho Hong +2

The increasing integration of inverter-based resources (IBRs) and communication networks has brought both modernization and new vulnerabilities to the power system infrastructure.…