3 papers
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.…
eess.SY2024
AI-Enhanced Inverter Fault and Anomaly Detection System for Distributed Energy Resources in Microgrids
Swetha Rani Kasimalla, Kuchan Park, Junho Hong +2
The integration of Distributed Energy Resources (DERs) into power distribution systems has made microgrids foundational to grid modernization. These DERs, connected through power e…