Minimization of Wind Power Curtailment using Dynamic Line Rating. - Vageesh Chakrapani Manakari; Sandra Thengius; Akshaya Tammanur Ravi; Kateryna Morozovska; Patrik Hilber (ISGT-Europe, 2020)

Dynamic Rating with Applications to Renewable Energy. - Kateryna Morozovska (2020)

Sizing Transformer Considering Transformer Thermal Limits and Wind Farm Wake Effect. - Zhongtian Li; Kateryna Morozovska; Patrik Hilber; Tor Laneryd; Stefan Ivanell (ISGT Asia, 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)

Physics-Informed Neural Networks for Modeling Cellulose Degradation in Power Transformers. - Federica Bragone; Khaoula Oueslati; Tor Laneryd; Michele Luvisotto; Kateryna Morozovska (ICMLA, 2022)

Physics-Informed Neural Networks for prediction of transformer's temperature distribution. - Oliver Welin Odeback; Federica Bragone; Tor Laneryd; Michele Luvisotto; Kateryna Morozovska (ICMLA, 2022)

Self-Supervised Transformer Networks for Error Classification of Tightening Traces. - Dennis Bogatov Wilkman; Lifei Tang; Kateryna Morozovska; Federica Bragone (ICMLA, 2022)

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 (ICCS (1), 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)

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)

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)

MILP initialization for solving parabolic PDEs with PINNs. - Sirui Li; Federica Bragone; Matthieu Barreau; Kateryna Morozovska (CoRR, 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, 2025)

Optimal Sensor Placement in Power Transformers Using Physics-Informed Neural Networks. - Sirui Li; Federica Bragone; Matthieu Barreau; Tor Laneryd; Kateryna Morozovska (CoRR, 2025)

Online Traffic Density Estimation using Physics-Informed Neural Networks. - Dennis Bogatov Wilkman; Kateryna Morozovska; Karl Henrik Johansson; Matthieu Barreau (CoRR, 2025)

Discovering Partially Known Ordinary Differential Equations: a Case Study on the Chemical Kinetics of Cellulose Degradation. - Federica Bragone; Kateryna Morozovska; Tor Laneryd; Khemraj Shukla; Stefano Markidis (CoRR, 2025)

$PINN - a Domain Decomposition Method for Bayesian Physics-Informed Neural Networks. - Júlia Vicens Figueres; Juliette Vanderhaeghen; Federica Bragone; Kateryna Morozovska; Khemraj Shukla (CoRR, 2025)

Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares. - Aurora Poggi; Giuseppe Alessio D'Inverno; Hjalmar Brismar; Ozan Öktem; Matthieu Barreau; Kateryna Morozovska (CoRR, 2025)