Heterogeneous Graph Attention Networks model intra-domain and inter-domain sensor relationships for short-term state forecasting in multi-domain power systems, outperforming baselines by 35.5% NRMSE on a hydroelectric case study.
Applica- tion of deep learning for power system state forecasting.International Transactions on Electrical Energy Systems, 31(9):e12901
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Heterogeneous Graph Neural Networks for Short-term State Forecasting in Power Systems across Domains and Time Scales: A Hydroelectric Power Plant Case Study
Heterogeneous Graph Attention Networks model intra-domain and inter-domain sensor relationships for short-term state forecasting in multi-domain power systems, outperforming baselines by 35.5% NRMSE on a hydroelectric case study.