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ORCIDRashid Baembitov
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2020 – today
- 2026
[c5]Daniel Saranovic, Zoran Obradovic, Rashid Baembitov, Mladen Kezunovic:
Granular Spatio-Temporal Grid-based Machine Learning for Forced Outage Prediction in Electrical Networks. HICSS 2026- 2025
- [c4]Rafaa Aljurbua
, Rashid Baembitov, Christos Petridis, Daniel Saranovic, Mladen Kezunovic, Zoran Obradovic:
Spatiotemporal Multiplex Network Model for Predicting Forced Outage Severity in Distribution Grids. EANN (2) 2025: 165-178 - [c3]Mladen Kezunovic, Rashid Baembitov, Daniel Saranovic, Abinash Karmacharya, Zoran Obradovic:
Effect of Lightning Features on Predicting Outages Related to Thunderstorms in Distribution Grids. HICSS 2025: 1-10 - 2024
- [c2]Rashid Baembitov, Mladen Kezunovic, Daniel Saranovic, Zoran Obradovic:
Sensitivity Analysis of Machine Learning Algorithms for Outage Risk Prediction. HICSS 2024: 3150-3159 - 2023
- [j3]Rashid Baembitov, Mladen Kezunovic, Keith A. Brewster, Zoran Obradovic:
Incorporating Wind Modeling Into Electric Grid Outage Risk Prediction and Mitigation Solution. IEEE Access 11: 4373-4380 (2023) - [j2]Mohammad Khoshjahan, Rashid Baembitov, Mladen Kezunovic:
Informed Prosumer Aggregator Bidding Strategy via Incorporating Distribution Grid Outage Risk Predictions. IEEE Access 11: 28585-28595 (2023) - [j1]Rashid Baembitov, Mladen Kezunovic:
State of Risk Prediction for Management and Mitigation of Vegetation and Weather Caused Outages in Distribution Networks. IEEE Access 11: 113864-113875 (2023) - 2022
- [i1]Mladen Kezunovic, Rashid Baembitov, Mohammad Khoshjahan:
Data-driven State of Risk Prediction and Mitigation in Support of the Net-zero Carbon Electric Grid. CoRR abs/2207.03472 (2022) - 2021
- [c1]Rashid Baembitov, Tatjana Dokic, Mladen Kezunovic, Yi Hu, Zoran Obradovic:
Fast Extraction and Characterization of Fundamental Frequency Events from a Large PMU Dataset using Big Data Analytics. HICSS 2021: 1-10
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