23 citations · 47 across the 16 of their papers we have counts for
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Near Real-Time Distributed State Estimation via AI/ML-Empowered 5G Networks
Ognjen Kundacina, Miodrag Forcan, Mirsad Cosovic +5
Fifth-Generation (5G) networks have a potential to accelerate power system transition to a flexible, softwarized, data-driven, and intelligent grid. With their evolving support for…
Distributed Nonlinear State Estimation in Electric Power Systems using Graph Neural Networks
Ognjen Kundacina, Mirsad Cosovic, Dragisa Miskovic +1
Nonlinear state estimation (SE), with the goal of estimating complex bus voltages based on all types of measurements available in the power system, is usually solved using the iter…
Robust and Fast Data-Driven Power System State Estimator Using Graph Neural Networks
Ognjen Kundacina, Mirsad Cosovic, Dejan Vukobratovic
The power system state estimation (SE) algorithm estimates the complex bus voltages based on the available set of measurements. Because phasor measurement units (PMUs) are becoming…
State Estimation in Electric Power Systems Leveraging Graph Neural Networks
Ognjen Kundacina, Mirsad Cosovic, Dejan Vukobratovic
The goal of the state estimation (SE) algorithm is to estimate complex bus voltages as state variables based on the available set of measurements in the power system. Because phaso…