Rashid Baembitov

According to our database, Rashid Baembitov authored at least 9 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Granular Spatio-Temporal Grid-based Machine Learning for Forced Outage Prediction in Electrical Networks.

Daniel Saranovic, Zoran Obradovic, Rashid Baembitov, Mladen Kezunovic

Proceedings of the 59th Hawaii International Conference on System Sciences, 2026

2025

Effect of Lightning Features on Predicting Outages Related to Thunderstorms in Distribution Grids.

Mladen Kezunovic, Rashid Baembitov, Daniel Saranovic, Abinash Karmacharya, Zoran Obradovic

Proceedings of the 58th Hawaii International Conference on System Sciences, 2025

Spatiotemporal Multiplex Network Model for Predicting Forced Outage Severity in Distribution Grids.

Rafaa Aljurbua, Rashid Baembitov, Christos Petridis, Daniel Saranovic, Mladen Kezunovic, Zoran Obradovic

Proceedings of the Engineering Applications of Neural Networks, 2025

2024

Sensitivity Analysis of Machine Learning Algorithms for Outage Risk Prediction.

Rashid Baembitov, Mladen Kezunovic, Daniel Saranovic, Zoran Obradovic

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

Informed Prosumer Aggregator Bidding Strategy via Incorporating Distribution Grid Outage Risk Predictions.

Mohammad Khoshjahan, 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

State of Risk Prediction for Management and Mitigation of Vegetation and Weather Caused Outages in Distribution Networks.

Rashid Baembitov, Mladen Kezunovic

IEEE Access, 2023

2022

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

2021

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

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021