Abstract
The objective of this project is to explore a big data solution of the water industry for the unattended automation of the daily programming of the water adduction operational controls using some parametric time series models such as harmonic model with periodicity of 12 and 24 hours + autoregressive model; SARIMA model (Seasonal Autoregressive Moving Average Models); model ARFIMA (Long M…