GraphOPF applies graph learning with physics-informed self-supervision to solve AC-OPF up to 66 times faster than baselines on large systems including the Korean grid while claiming over 99% feasibility.
arXiv preprint arXiv:2410.03085 , year=
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Physics-Informed Graph Learning Acceleration for Large-Scale AC-OPF with Topology Changes
GraphOPF applies graph learning with physics-informed self-supervision to solve AC-OPF up to 66 times faster than baselines on large systems including the Korean grid while claiming over 99% feasibility.