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1. Regime-aware-Probabilistic-Residual-Load-ForecastingRegime-aware-Probabilistic-Residual-Load-ForecastingPublic

   Grid-Aware Probabilistic Residual Load Forecasting with Regime-Aware Conformal Calibration

   Python

2. GAT-LSTM-MCQR-Probabilistic-Load-ModelGAT-LSTM-MCQR-Probabilistic-Load-ModelPublic

   Grid and uncertainty-aware load forecasting model for the Brazilian Energy system

   Python

3. Probabilistic-Residual-Load-ModelProbabilistic-Residual-Load-ModelPublic

   Residual-based probabilistic load forecasting model for ENTSO-E case study.

   Python 2

4. Grid-Aware_STGNN_for_Multi-Horizon_Load_ForecastingGrid-Aware_STGNN_for_Multi-Horizon_Load_ForecastingPublic

   Grid-Aware STGNN for Multi-horizon Power Load Forecasting

   Python 8 2

5. Load-Forecasting-using-GAT-LSTMLoad-Forecasting-using-GAT-LSTMPublic

   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…

   Python 32 4