An adaptive graph neural network with spatial attention and residual spatiotemporal convolutions enables short-term voltage stability assessment in power grids under time-varying topologies.
Graph embedding dynamic feature-based supervised contrastive learning of transient stability for changing power grid topologies
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Adaptive Spatial-Temporal Graph Learning-Enabled Short-Term Voltage Stability Assessment against Time-Varying Topological Conditions
An adaptive graph neural network with spatial attention and residual spatiotemporal convolutions enables short-term voltage stability assessment in power grids under time-varying topologies.