Optimal leakage detection and classification of the water distribution network based on the machine learning approach
HaeKeum Park,
YooJin Oh,
Kibum Kim
et al.
Abstract:Water distribution networks are operated to supply tap water stably, but they suffer from leakage due to various factors, resulting in poor performance. In Korea, IoT-based smart sensors are installed to reduce these leaks, and a large amount of data is collected. In this study, to solve the data uncertainty and verification of the model's field applicability, which were the limitations of previous studies, the eXtreme Gradient Boosting (XGB) model, which is based on boosting, was selected as the optimal model… Show more
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