IEEE

Constraints and Variables Reduction for Optimal Power Flow Using Hierarchical Graph Neural Networks with Virtual Node-Splitting

Abstract: Power system networks are often modeled as homogeneous graphs, which limits the ability of graph neural network (GNN) to capture individual generator features at the same nodes. By ...
IEEE

STMGCN: A Spatiotemporal Multi-Graph Convolutional Networks for Real-Time Intelligent Transportation Traffic Flow Prediction

Abstract: The Internet of Things (IoT) and artificial intelligence (AI) are essential for intelligent transportation systems (ITS) because they allow for real-time decision-making, predictive ...