Abstract: The paper proposes a burst detection method that relies on shape similarity analysis of time series subsequences (i.e., slices of time series). Subsequence libraries are constructed using flow (or water demand) data. ...

Abstract: Water distribution systems (WDSs) are critical infrastructures that need to be resilient to cope with and quickly recover from exceptional conditions in an uncertain and challenging future. To build resilience in the design ...

Abstract: Many burst detection methods, including a prediction stage, have been developed in order to identify bursts in a timely manner. These methods require vast historical data to produce accurate predictions. The clustering-based ...

Abstract: Hydraulic accidents or abnormal situations, also known as leakages, cause not only water losses but also service interruptions and other negative effects. To facilitate the rapid response of water utilities and reduce water ...

Abstract: Urban water system optimization, e.g., chlorine dosage optimization, requires repeatedly running hydraulic and water quality models, which leads to significant computational and time costs for large-scale real networks. ...

Abstract: Water loss reduction is important in sustainable water resource management. As one of the main water loss control methods, early detection of hydraulic accidents in district metering areas (DMAs) has emerged as a research ...

Abstract: Effectively detecting leaks is critical to improving leakage control management. Acoustic detection is one of the main leakage detection methods, and has been widely used in water utilities. Nevertheless, the effectiveness ...

Abstract: A key challenge in designing algorithms for leakage detection and isolation in drinking water distribution systems is the performance evaluation and comparison between methodologies using benchmarks. For this purpose, the ...