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Federica Bragone
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Physics-informed neural networks for modelling power transformer’s dynamic thermal behaviour
F Bragone, K Morozovska, P Hilber, T Laneryd, M Luvisotto
Electric power systems research 211, 108447, 2022
162022
Physics informed neural networks for power transformer dynamic thermal modelling
T Laneryd, F Bragone, K Morozovska, M Luvisotto
IFAC-PapersOnLine 55 (20), 49-54, 2022
22022
Physics-informed machine learning in power transformer dynamic thermal modelling
F Bragone
22021
Physics-Informed Neural Networks for prediction of transformer’s temperature distribution
OW Odeback, F Bragone, T Laneryd, M Luvisotto, K Morozovska
2022 21st IEEE International Conference on Machine Learning and Applicationsá…, 2022
12022
Physics-Informed Neural Networks for Modeling Cellulose Degradation in Power Transformers
F Bragone, K Oueslati, T Laneryd, M Luvisotto, K Morozovska
2022 21st IEEE International Conference on Machine Learning and Applicationsá…, 2022
12022
Physics-Informed Neural Networks and Machine Learning Algorithms for Sustainability Advancements in Power Systems Components
F Bragone
KTH Royal Institute of Technology, 2023
2023
Unsupervised Learning Analysis of Flow-Induced Birefringence in Nanocellulose: Differentiating Materials and Concentrations
F Bragone, T RosÚn, K Morozovska, T Laneryd, D S÷derberg, S Markidis
2023
Self-Supervised Transformer Networks for Error Classification of Tightening Traces
DB Wilkman, L Tang, K Morozovska, F Bragone
2022 21st IEEE International Conference on Machine Learning and Applicationsá…, 2022
2022
Physics-Informed Neural Networks for modelling insulation paper degradation in Power Transformers
K Oueslati, N Dhahbi-Megriche, F Bragone, K Morozovska, T Laneryd, ...
2022 IEEE International Conference on Electrical Sciences and Technologiesá…, 2022
2022
Physics-Informed Neural Networks for Power Systems Applications
F Bragone
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