Deep learning forecasting model and visual explanation for large-scale time-series data
Large-scale time-series forecasting underpins decision-making in energy systems, traffic operations, industrial monitoring and financial analytics. Recent recurrent, convolutional and Transformer-based models have improved predictive accuracy, yet three limitations remain: inefficient modelling of long input windows, i...