activity
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

collaborators

5 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★ 1 cited

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…

cs.RO2024

Towards Human-Like Driving: Active Inference in Autonomous Vehicle Control

Elahe Delavari, John Moore, Junho Hong +1

This paper presents a novel approach to Autonomous Vehicle (AV) control through the application of active inference, a theory derived from neuroscience that conceptualizes the brai…

eess.SY2023★ 1 cited

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…