Hierarchical Industrial Demand Forecasting with Temporal and Uncertainty Explanations

ArXi:2603.06555v1 Announce Type: new Hierarchical time-series forecasting is essential for demand prediction across various industries. While machine learning models have obtained significant accuracy and scalability on such forecasting tasks, the interpretability of their predictions, informed by application, is still largely unexplored. To bridge this gap, we