activity
20162026
most citedState Estimation in Electric Power Systems Leveraging Graph Neural Networks

23 citations · 76 across the 18 of their papers we have counts for

collaborators

21 papers

cs.IT2026

Vectorized Gaussian Belief Propagation for Near Real-Time Fully-Distributed PMU-Based State Estimation

Mirsad Cosovic, Armin Teskeredzic, Antonello Monti +1

Electric power systems require accurate, scalable, distributed, and near real-time state estimation (SE) to support reliable monitoring and control under increasingly complex opera…

cs.SE2025

JuliaGrid: An Open-Source Julia-Based Framework for Power System State Estimation

Mirsad Cosovic, Ognjen Kundacina, Muhamed Delalic +6

Modern electric power systems have an increasingly complex structure due to rise in power demand and integration of diverse energy sources. Monitoring these large-scale systems, wh…

cs.CY2024

Good Practices for Institutional Organization of Research Institutes: Excellence in Research and Positive Impact on Society

Zlatan Ajanović, Hamza Merzić, Suad Krilasević +10

In this paper, we analyze examples of research institutes that stand out in scientific excellence and social impact. We define key practices for evaluating research results, econom…

eess.SY2024

Identification of Black-Box Inverter-Based Resource Control Using Hammerstein-Wiener Models

Aldin Dželo, Amer Mešanović, Mirsad Cosovic

The development of more complex inverter-based resources (IBRs) control is becoming essential as a result of the growing share of renewable energy sources in power systems. Given t…

cs.LG2023★ 16 cited

Graph Neural Networks on Factor Graphs for Robust, Fast, and Scalable Linear State Estimation with PMUs

Ognjen Kundacina, Mirsad Cosovic, Dragisa Miskovic +1

As phasor measurement units (PMUs) become more widely used in transmission power systems, a fast state estimation (SE) algorithm that can take advantage of their high sample rates…

cs.LG2023★ 1 cited

Scalability and Sample Efficiency Analysis of Graph Neural Networks for Power System State Estimation

Ognjen Kundacina, Gorana Gojic, Mirsad Cosovic +2

Data-driven state estimation (SE) is becoming increasingly important in modern power systems, as it allows for more efficient analysis of system behaviour using real-time measureme…