Detection of Fraudulent Behavior in Water Consumption using ARIMA Model

Abstract

Companies that supply water face numerous issues when customers deceit the organization by involving in fraudulent activities. It is a challenging task for the company to figure out the culprit. There has been constant research going on to resolve the issue, and here we stress upon a more profound level to support the companies. So, this particular model assists in finding out the behaviour of the customers. The research focuses principally on forecasting techniques where an algorithm called ARIMA is used to detect the behaviour. By applying this time series algorithm, it exhibits accurate results and improves efficiency, thereby improving the revenue and reducing the non-technical loss of the company.

 Keywords: Time Series, Water Consumption, forecasting, ARIMA Model