Mladen Kezunovic

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Texas A&M University

United States

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Dr. Mladen Kezunovic is a Professor at Texas A&M University in the United States. His research focuses on risk assessment in power systems, resiliency in electrification, and the application of artificial intelligence in fault analysis and outage management. He has published extensively on topics such as automated fault prediction, wind modeling for outage risk mitigation, and strategies for managing distribution network outages caused by vegetation and weather.

Recent Grants

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Robust Adaptive Topology Control

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Articles (14)

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2025

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2021

Collaborators (1)

Zoran Obradovic

Professor and `Director of Data Analytics and Biomedical Informatics Center

Temple University

UNITED STATES

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Mladen Kezunovic

Research Interests

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Recent Grants

Articles (14)

Risk assessment of future power systems: Assuring resilience of electrification for decarbonization

Synchro-Waveforms in Wide-Area Monitoring, Control, and Protection: Real-World Examples and Future Opportunities

No Silver Bullet: Artificial Intelligence Is Not a Panacea, but It Works for Fault Analysis and Outage Management

Automated Power System Fault Prediction and Precursor Discovery Using Multi-Modal Data

Incorporating Wind Modeling Into Electric Grid Outage Risk Prediction and Mitigation Solution

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

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

Fault Detection Utilizing Convolution Neural Network on Timeseries Synchrophasor Data From Phasor Measurement Units

An Algorithm to Mitigate the Infeed Effect on Overreaching Distance Zones Settings

Robust bidding strategy for aggregation of distributed prosumers in flexiramp market

Linear Arrhenius-Weibull Model for Power Transformer Thermal Stress Assessment

Hierarchical Convolutional Neural Networks for Event Classification on PMU Measurements

Transfer Learning for Event Detection From PMU Measurements With Scarce Labels

Novel Fault Distance Estimation Method for Three-Terminal Transmission Line

Collaborators (1)

Zoran Obradovic

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