This repository implements the GAT-LSTM model, which combines Graph Attention Networks (GAT) and Long Short-Term Memory Networks (LSTM) for hourly power load forecasts. It leverages spatio-temporal dependencies in energy systems, using graph-structured data (e.g., grid topology) and temporal sequences (e.g., historical consumption and weather).
☆32Sep 22, 2025Updated last year
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