Open access
2026
Fractional-Order Physics-Informed Neural Networks for Stability Analysis of Power System Models
The results establish FOPINN as an effective, reusable and physics-consistent framework for capturing memory-driven dynamics in contemporary power grids and emphasise the significance of integrating fractional-order modeling for realistic power system analysis.
V. S. Malavika, E. Gopalakrishnan, K. Chandan et al.
· IEEE Access · 0 citations