most citedEnhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal Features

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.LG2025★ 4 cited

Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal Features

Ugochukwu Orji, Çiçek Güven, Dan Stowell

Accurate power load forecasting is essential for the efficient operation and planning of electrical grids, particularly given the increased variability and complexity introduced by…