5 papers
Integrating AI and Simulation for Teaching Power System Dynamics: An Interactive Framework for Engineering Education
Osasumwen Cedric Ogiesoba-Eguakun, Phani Kumar Inkollu, Rupesh Sah +3
Artificial Intelligence (AI), especially cloud platforms and large language models (LLMs), is changing how engineering is taught by making learning more interactive and flexible. H…
Real-Time Surrogate Modeling for Fast Transient Prediction in Inverter-Based Microgrids Using CNN and LightGBM
Osasumwen Cedric Ogiesoba-Eguakun, Kaveh Ashenayi, Suman Rath
Real-time monitoring of inverter-based microgrids is essential for stability, fault response, and operational decision-making. However, electromagnetic transient (EMT) simulations,…
High-Fidelity Digital Twin Dataset Generation for Inverter-Based Microgrids Under Multi-Scenario Disturbances
Osasumwen Cedric Ogiesoba-Eguakun, Kaveh Ashenayi, Suman Rath
Public power-system datasets often lack electromagnetic transient (EMT) waveforms, inverter control dynamics, and diverse disturbance coverage, which limits their usefulness for tr…
Cyberattack Detection in Virtualized Microgrids Using LightGBM and Knowledge-Distilled Classifiers
Osasumwen Cedric Ogiesoba-Eguakun, Suman Rath
Modern microgrids depend on distributed sensing and communication interfaces, making them increasingly vulnerable to cyber physical disturbances that threaten operational continuit…
Quantum Machine Learning Approaches for Coordinated Stealth Attack Detection in Distributed Generation Systems
Osasumwen Cedric Ogiesoba-Eguakun, Suman Rath
Coordinated stealth attacks are a serious cybersecurity threat to distributed generation systems because they modify control and measurement signals while remaining close to normal…