Leak Monitoring in Water Distribution Networks
This talk will present different approaches to detect, estimate and locate water leaks (with the main focus in the localization problem) in water distribution networks (WDNs) using hydraulic models and machine learning techniques. First, the actual state of the art will be shortly revised. Then, the theoretical basis of the machine learning techniques considered will be introduced as well as WDN hydraulic models usually used by WDN management companies. Different real WDNs and district metered areas (DMA) will be used to illustrate the presented approaches using simulated and real scenarios. The talk will finalize with a discussion about the comparison results of the different presented approaches and with the current and future research trends in the field of leak monitoring in WDNs.