Kateryna Morozovska

According to our database, Kateryna Morozovska authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Optimal Sensor Placement in Power Transformers Using Physics-Informed Neural Networks.

Sirui Li, Federica Bragone, Matthieu Barreau, Tor Laneryd, Kateryna Morozovska

CoRR, February, 2025

Data-Driven vs Traditional Approaches to Power Transformer's Top-Oil Temperature Estimation.

Francis Tembo, Federica Bragone, Tor Laneryd, Matthieu Barreau, Kateryna Morozovska

CoRR, January, 2025

MILP initialization for solving parabolic PDEs with PINNs.

Sirui Li, Federica Bragone, Matthieu Barreau, Kateryna Morozovska

CoRR, January, 2025

Automatic learning analysis of flow-induced birefringence in cellulose nanofibrils.

Federica Bragone, Kateryna Morozovska, Tomas Rosén, Tor Laneryd, Daniel Söderberg, Stefano Markidis

J. Comput. Sci., 2025

Residual-based attention Physics-informed Neural Networks for spatio-temporal ageing assessment of transformers operated in renewable power plants.

Ibai Ramirez, Joel Pino, David Pardo, Mikel Sanz, Luis Del Rio, Alvaro Ortiz, Kateryna Morozovska, Jose Ignacio Aizpurua

Eng. Appl. Artif. Intell., 2025

2024

Residual-based Attention Physics-informed Neural Networks for Efficient Spatio-Temporal Lifetime Assessment of Transformers Operated in Renewable Power Plants.

Ibai Ramirez, Joel Pino, David Pardo, Mikel Sanz, Luis Del Rio, Alvaro Ortiz, Kateryna Morozovska, Jose Ignacio Aizpurua

CoRR, 2024

Time Series Predictions Based on PCA and LSTM Networks: A Framework for Predicting Brownian Rotary Diffusion of Cellulose Nanofibrils.

Federica Bragone, Kateryna Morozovska, Tomas Rosén, Daniel Söderberg, Stefano Markidis

Proceedings of the Computational Science - ICCS 2024, 2024

2022

Self-Supervised Transformer Networks for Error Classification of Tightening Traces.

Dennis Bogatov Wilkman, Lifei Tang, Kateryna Morozovska, Federica Bragone

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Physics-Informed Neural Networks for prediction of transformer's temperature distribution.

Oliver Welin Odeback, Federica Bragone, Tor Laneryd, Michele Luvisotto, Kateryna Morozovska

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Physics-Informed Neural Networks for Modeling Cellulose Degradation in Power Transformers.

Federica Bragone, Khaoula Oueslati, Tor Laneryd, Michele Luvisotto, Kateryna Morozovska

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Including Dynamic Line Rating Into the Optimal Planning of Distributed Energy Resources.

Kateryna Morozovska, Miguel Heleno, Alan Valenzuela, Patrik Hilber

IEEE Trans. Smart Grid, 2021

Sizing Transformer Considering Transformer Thermal Limits and Wind Farm Wake Effect.

Zhongtian Li, Kateryna Morozovska, Patrik Hilber, Tor Laneryd, Stefan Ivanell

Proceedings of the 2021 IEEE PES Innovative Smart Grid Technologies, 2021

2020

Dynamic Rating with Applications to Renewable Energy.

Kateryna Morozovska

PhD thesis, 2020

Minimization of Wind Power Curtailment using Dynamic Line Rating.

Vageesh Chakrapani Manakari, Sandra Thengius, Akshaya Tammanur Ravi, Kateryna Morozovska, Patrik Hilber

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020