Explainable hourly global solar radiation forecasting using a CNN-BiLSTM model with temperature scaled softmax attention.
A lightweight, explainable hybrid deep learning architecture, CNN-BiLSTM-STAM, which integrates convolutional layers for inter-feature pattern extraction, bidirectional long short-term memory networks for temporal dependency learning, and a softmax temperature attention mechanism (STAM) with a learnable temperature to...