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Ignasi Ventura Nadal

Technical University of Denmark

Lyngby

Denmark

  • Technical University of Denmark

SCHOLARLY PAPERS

2

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227

TOTAL CITATIONS

1

Scholarly Papers (2)

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1.

Physics-Informed Machine Learning for Power System Dynamics: A Framework Incorporating Trustworthiness

Number of pages: 27 Posted: 18 Dec 2024
Petros Ellinas, Ioannis Karampinis, Ignasi Ventura Nadal, Rahul Nellikkath, Johanna Vorwerk and Spyros Chatzivasileiadis
Technical University of Denmark, Technical University of Denmark, Technical University of Denmark, Technical University of Denmark, Technical University of Denmark and Technical University of Denmark
Downloads 170 (442,467)

Abstract:

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Physics-informed machine learning, power system dynamics, Neural Networks, trustworthiness, transparency, interpretability, correctness verification, Kolmogorov-Arnold Networks (KANs), PINNSim, safety-critical applications

2.

Physics-Informed Neural Networks: A Plug and Play Integration into Power System Dynamic Simulations

Number of pages: 21 Posted: 19 Dec 2024
Ignasi Ventura Nadal, Jochen Stiasny and Spyros Chatzivasileiadis
Technical University of Denmark, affiliation not provided to SSRN and Technical University of Denmark
Downloads 57 (989,921)
Citation 1

Abstract:

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Dynamical systems, numerical integration, power systems, scientific machine learning, time-domain simulations