Uncertainty-aware maintenance scheduling in water distribution networks via ensemble neural forecasting and explainable confidence indexing
Maintenance scheduling in water distribution networks (WDNs) needs accurate demand forecasts. However, climate variability makes point predictions insufficient. Existing Digital Twin (DT) frameworks use deterministic forecasts, leading to over-scheduling and Service Level Agreement (SLA) violations during volatile weat...