Smart Water Grid: data analysis and modeling for a water distribution branch in Mexico City.

Water scarcity in cities is one of the main problems in the world and water security is one of the objectives of the United Nations for 2031. A methodology for anomalies detection is proposed using data analysis, ARIMA models and transfer function models. Real data from flow sensors of several tanks of a branch of the water distribution system of Mexico City, were used for the implementation and validation of the methodology. The resulting models and alerts could improve efficiency in water distribution service by the early detection of wrong measurements and possible leakages.

https://orcid.org/0000-0001-9270-0052