Localizing Anomalies in Critical Infrastructure using Model-Based Drift Explanations

Facing climate change, the already limited availability of drinking water will decrease in the future rendering drinking water an increasingly scarce resource. Considerable amounts of it are lost through leakages in water transportation and distribution networks. Thus, anomaly detection and localization, in particular for leakages, are crucial but challenging tasks due to the complex interactions and changing demands in water distribution networks. In this work, we analyze the effects of anomalies on the dynamics of critical infrastructure systems by modeling …

anomaly anomaly detection availability change climate climate change critical infrastructure cs.lg detection distribution drift future infrastructure localization lost networks rendering tasks through transportation water will