4 papers · 1 filter
Physics-Informed Neural Network Models for EMT Simulators
Ignasi Ventura Nadal, Mohammad Kazem Bakhshizadeh, Petros Aristidou +4
This is the first paper, to the best of our knowledge, to propose a framework that integrates Physics-Informed Neural Network (PINN) models in Electromagnetic Transient (EMT) simul…
Toolbox for Developing Physics Informed Neural Networks for Power Systems Components
Ioannis Karampinis, Petros Ellinas, Ignasi Ventura Nadal +2
This paper puts forward the vision of creating a library of neural-network-based models for power system simulations. Traditional numerical solvers struggle with the growing comple…
Physics-Informed Neural Networks in Power System Dynamics: Improving Simulation Accuracy
Ignasi Ventura Nadal, Rahul Nellikkath, Spyros Chatzivasileiadis
The importance and cost of time-domain simulations when studying power systems have exponentially increased in the last decades. With the growing share of renewable energy sources,…
Correctness Verification of Neural Networks Approximating Differential Equations
Petros Ellinas, Rahul Nellikath, Ignasi Ventura +2
Verification of Neural Networks (NNs) that approximate the solution of Partial Differential Equations (PDEs) is a major milestone towards enhancing their trustworthiness and accele…