<ul><li>AC-OPF optimizes generator power outputs using non-linear relationships in power systems.</li><li>Current AC-OPF solvers face challenges in representing complex variable distributions and their optimal solutions.</li><li>DDA-PIGCN is a new method that addresses constraint-related issues and incorporates spatiotemporal features for improved learning.</li><li>Extensive studies show that DDA-PIGCN achieves strong performance and high constraint satisfaction rates across various test cases.</li></ul>

Dynamic Domain Adaptation-Driven Physics-Informed Graph Representation Learning for AC-OPF

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