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pro vyhledávání: '"Federica Bragone"'
Publikováno v:
IFAC-PapersOnLine. 55:49-54
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Autor:
Khaoula Oueslati, Nabila Dhahbi-Megriche, Federica Bragone, Kateryna Morozovska, Tor Laneryd, Michele Luvisotto
Publikováno v:
2022 IEEE International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM).
Publikováno v:
Electric Power Systems Research. 211:108447
This paper focuses on the thermal modelling of power transformers using physics-informed neural networks (PINNs). PINNs are neural networks trained to consider the physical laws provided by the general nonlinear partial differential equations (PDEs).