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Optimal Sensor Placement in Power Transformers Using Physics-Informed Neural Networks

Optimal Sensor Placement in Power Transformers Using Physics-Informed Neural Networks

Sirui Li
Federica Bragone
Matthieu Barreau
Tor Laneryd
Kateryna Morozovska
ArXiv (abs)PDFHTML

Papers citing "Optimal Sensor Placement in Power Transformers Using Physics-Informed Neural Networks"

5 / 5 papers shown
Title
Residual-based Attention Physics-informed Neural Networks for Efficient Spatio-Temporal Lifetime Assessment of Transformers Operated in Renewable Power Plants
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
Álvaro Ortiz
Kateryna Morozovska
J. Aizpurua
32
0
0
10 May 2024
Physics Informed Neural Networks for Phase Locked Loop Transient Stability Assessment
Physics Informed Neural Networks for Phase Locked Loop Transient Stability Assessment
Rahul Nellikkath
Andreas Venzke
M. Bakhshizadeh
Ilgiz Murzakhanov
Spyros Chatzivasileiadis
43
4
0
21 Mar 2023
PINNSim: A Simulator for Power System Dynamics based on Physics-Informed Neural Networks
PINNSim: A Simulator for Power System Dynamics based on Physics-Informed Neural Networks
Jochen Stiasny
Baosen Zhang
Spyros Chatzivasileiadis
PINN
51
7
0
17 Mar 2023
Physics-Informed Neural Networks for AC Optimal Power Flow
Physics-Informed Neural Networks for AC Optimal Power Flow
Rahul Nellikkath
Spyros Chatzivasileiadis
PINN
119
91
0
06 Oct 2021
Automatic differentiation in machine learning: a survey
Automatic differentiation in machine learning: a survey
A. G. Baydin
Barak A. Pearlmutter
Alexey Radul
J. Siskind
PINNAI4CEODL
172
2,816
0
20 Feb 2015

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