2 papers
cs.LG2025
Optimal Sensor Placement in Power Transformers Using Physics-Informed Neural Networks
Sirui Li, Federica Bragone, Matthieu Barreau +2
Our work aims at simulating and predicting the temperature conditions inside a power transformer using Physics-Informed Neural Networks (PINNs). The predictions obtained are then u…
cs.LG2025
MILP initialization for solving parabolic PDEs with PINNs
Sirui Li, Federica Bragone, Matthieu Barreau +1
Physics-Informed Neural Networks (PINNs) are a powerful deep learning method capable of providing solutions and parameter estimations of physical systems. Given the complexity of t…