Abstract: It is a major challenge for water companies worldwide to quickly react to bursts so that water loss is reduced and service improved. This paper proposes a novel data-driven method for district metering areas (DMAs) with ...

Abstract: Short-time water demand forecasting is essential for optimal control in a water distribution system (WDS). Current methods (e.g., time-series models and conventional artificial neural networks) have limited power in ...

Abstract: Abstract. Remaining useful life (RUL) prediction is a critical technology in prognostics and health management. Rotating machinery plays an indispensable role in industrial processes, and accurate RUL prediction for such ...