1 citations · 3 across the 8 of their papers we have counts for
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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…
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.…
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…
Machine Learning Based Cyber System Restoration for IEC 61850 Based Digital Substations
Kuchan Park, Mansi Girdhar, Junho Hong +3
Substation Automation Systems (SAS) that adhere to the International Electrotechnical Commission (IEC) 61850 standard have already been widely implemented across various on-site lo…
Machine Learning based Post Event Analysis for Cybersecurity of Cyber-Physical System
Kuchan Park, Junho Hong, Wencong Su +1
As Information and Communication Technology (ICT) equipment continues to be integrated into power systems, issues related to cybersecurity are increasingly emerging. Particularly n…