Publications by Federica Bragone
Peer reviewed
Articles
[1]
F. Bragone et al., "Physics-informed neural networks for modelling power transformer’s dynamic thermal behaviour," Electric power systems research, vol. 211, pp. 108447-108447, 2022.
Conference papers
[2]
T. Laneryd et al., "Physics Informed Neural Networks for Power Transformer Dynamic Thermal Modelling," in IFAC Papersonline, 2022, pp. 49-54.
[3]
F. Bragone et al., "Physics-Informed Neural Networks for Modeling Cellulose Degradation in Power Transformers," in 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022.
[4]
K. Oueslati et al., "Physics-Informed Neural Networks for modelling insulation paper degradation in Power Transformers," in 2022 IEEE International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM), 2022.
[5]
O. Welin Odeback et al., "Physics-Informed Neural Networks for prediction of transformer's temperature distribution," in 2022 21ST IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA, 2022, pp. 1579-1586.
[6]
O. Welin Odeback et al., "Physics-Informed Neural Networks for prediction of transformer’s temperature distribution," in 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022.
[7]
D. Bogatov Wilkman et al., "Self-Supervised Transformer Networks for Error Classification of Tightening Traces," in 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022.
Non-peer reviewed
Theses
[8]
F. Bragone, "Physics-Informed Neural Networks and Machine Learning Algorithms for Sustainability Advancements in Power Systems Components," Licentiate thesis Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2023:69, 2023.
Other
[9]
F. Bragone et al., "Unsupervised Learning Analysis of Flow-Induced Birefringence in Nanocellulose: Differentiating Materials and Concentrations," (Manuscript).
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2024-05-26 01:04:20