GraphToolbox: A Configurable Python Framework for Graph Neural Network Forecasting
Electricity forecasting often involves spatially related signals observed over regions, substations, and feeders, and Graph Neural Networks (GNNs) provide a natural way to represent these relations. Building a complete GNN forecasting experiment is nonetheless laborious, because graph construction, model selection, tra...
Eloi Campagne, Yvenn Amara-Ouali, Y. Goude et al.
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