Bi-Mamba-Based Net-Load Forecasting Method with Multidimensional Temporal Information Fusion
A net-load prediction method considering multidimensional timing information is proposed, which can reduce the normalized Mean Absolute Error and the normalized Root Mean Squared Error compared with the temporal convolutional network baseline and exhibits robust stability across different seasons and day types.