An Autoregressive Integrated Moving Average Model Application for Predicting Water Pipeline Leakage

Because of some undetected water pipeline spillage, water deficiency has turned into a colossal issue in the community and involves a characterizing factor in water preservation. In this investigation, the analysts built up a prescient model of how water flow rate information can be anticipated and how ordinary water flow rate information contrasts from the spilled water flow rate data. Utilizing the created ARIMA model, the proponents effectively forecasts future water flow rate values with an error score of 1-2 percent of errors. The developed model was concluded to be acceptable for the reason that it has forecasted future values with an error score that is close to zero.