DDA-PIGCN combines multi-layer physics-informed constraints, dynamic constraint-bound adaptation, and spatial reordering to predict AC-OPF solutions with low reported error on IEEE test cases.
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Dynamic Domain Adaptation-Driven Physics-Informed Graph Representation Learning for AC-OPF
DDA-PIGCN combines multi-layer physics-informed constraints, dynamic constraint-bound adaptation, and spatial reordering to predict AC-OPF solutions with low reported error on IEEE test cases.