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Open access Sep 2026

An Interpretable Ensemble Learning Framework for Leakage Localization in Urban Water Distribution Networks

Rapid and accurate leakage localization in urban water distribution networks (WDNs) is vital for reducing non-revenue water and supporting sustainable water resource management. This study develops a spatial–hydraulic coupled and interpretable machine learning framework for zonal leakage localization under operational...

Qing-Fu Li, Ao Chen · 0 citations
Open access Jul 2026

A Stacking-Based Ensemble Learning Framework for Water Distribution Network Condition Prediction and Interpretability

Water distribution network (WDN) pipelines are essential infrastructure, and their failures cause significant economic and operational losses. Existing condition prediction models often struggle with high-dimensional non-linearities, severe class imbalance, and a lack of decision-centric interpretability. To address th...

Qing-Fu Li, Ao Chen · 0 citations

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