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Gradient-Enhanced Physics-Informed Neural Networks for Power Systems
  Operational Support

Gradient-Enhanced Physics-Informed Neural Networks for Power Systems Operational Support

Electric power systems research (EPSR), 2022
21 June 2022
M. Mohammadian
K. Baker
Ferdinando Fioretto
    PINNAI4CE
ArXiv (abs)PDFHTML

Papers citing "Gradient-Enhanced Physics-Informed Neural Networks for Power Systems Operational Support"

5 / 5 papers shown
Title
A comprehensive analysis of PINNs: Variants, Applications, and Challenges
A comprehensive analysis of PINNs: Variants, Applications, and Challenges
Afila Ajithkumar Sophiya
Akarsh K Nair
S. Maleki
S. Krishnababu
PINNAI4CE
119
2
0
28 May 2025
Reliable and efficient inverse analysis using physics-informed neural networks with normalized distance functions and adaptive weight tuning
Reliable and efficient inverse analysis using physics-informed neural networks with normalized distance functions and adaptive weight tuning
Shota Deguchi
Mitsuteru Asai
PINNAI4CE
434
0
0
25 Apr 2025
Initialization-enhanced Physics-Informed Neural Network with Domain
  Decomposition (IDPINN)
Initialization-enhanced Physics-Informed Neural Network with Domain Decomposition (IDPINN)
Chenhao Si
Ming Yan
AI4CEPINN
200
10
0
05 Jun 2024
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
83
0
0
10 May 2024
Power Grid Behavioral Patterns and Risks of Generalization in Applied
  Machine Learning
Power Grid Behavioral Patterns and Risks of Generalization in Applied Machine LearningEnergy-Efficient Computing and Networking (e-Energy), 2023
Shimiao Li
Ján Drgoňa
S. Abhyankar
L. Pileggi
AI4CE
191
1
0
21 Apr 2023
1