Ognjen Kundacina

Orcid: 0000-0003-0198-3363

According to our database1, Ognjen Kundacina authored at least 13 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow.
Softw. Impacts, May, 2023

Application of Deep Learning Methods in Monitoring and Optimization of Electric Power Systems.
CoRR, 2023

Overview of Deep Learning Methods for Retinal Vessel Segmentation.
CoRR, 2023

Non-adversarial Robustness of Deep Learning Methods for Computer Vision.
CoRR, 2023

Graph Neural Networks on Factor Graphs for Robust, Fast, and Scalable Linear State Estimation with PMUs.
CoRR, 2023

Supporting Future Electrical Utilities: Using Deep Learning Methods in EMS and DMS Algorithms.
CoRR, 2023

Scalability and Sample Efficiency Analysis of Graph Neural Networks for Power System State Estimation.
CoRR, 2023

GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow.
CoRR, 2023

2022
Robust and Fast Data-Driven Power System State Estimator Using Graph Neural Networks.
CoRR, 2022

State Estimation in Electric Power Systems Leveraging Graph Neural Networks.
CoRR, 2022

Near Real-Time Distributed State Estimation via AI/ML-Empowered 5G Networks.
Proceedings of the IEEE International Conference on Communications, 2022

Distributed Nonlinear State Estimation in Electric Power Systems using Graph Neural Networks.
Proceedings of the IEEE International Conference on Communications, 2022

2020
A Reinforcement Learning Approach for Fast Frequency Control in Low-Inertia Power Systems.
CoRR, 2020


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