Fast Extraction and Characterization of Fundamental Frequency Events from a Large PMU Dataset using Big Data Analytics. - Rashid Baembitov; Tatjana Dokic; Mladen Kezunovic; Yi Hu; Zoran Obradovic (HICSS, 2021)

Data-driven State of Risk Prediction and Mitigation in Support of the Net-zero Carbon Electric Grid. - Mladen Kezunovic; Rashid Baembitov; Mohammad Khoshjahan (CoRR, 2022)

State of Risk Prediction for Management and Mitigation of Vegetation and Weather Caused Outages in Distribution Networks. - Rashid Baembitov; Mladen Kezunovic (IEEE Access, 2023)

Incorporating Wind Modeling Into Electric Grid Outage Risk Prediction and Mitigation Solution. - Rashid Baembitov; Mladen Kezunovic; Keith A. Brewster; Zoran Obradovic (IEEE Access, 2023)

Informed Prosumer Aggregator Bidding Strategy via Incorporating Distribution Grid Outage Risk Predictions. - Mohammad Khoshjahan; Rashid Baembitov; Mladen Kezunovic (IEEE Access, 2023)

Sensitivity Analysis of Machine Learning Algorithms for Outage Risk Prediction. - Rashid Baembitov; Mladen Kezunovic; Daniel Saranovic; Zoran Obradovic (HICSS, 2024)

Spatiotemporal Multiplex Network Model for Predicting Forced Outage Severity in Distribution Grids. - Rafaa Aljurbua; Rashid Baembitov; Christos Petridis; Daniel Saranovic; Mladen Kezunovic; Zoran Obradovic (EANN (2), 2025)