Water Consumption Analysis Using Data Mining Techniques A Case Study: Fasa

Document Type: Original Article

Authors

1 Persian Gulf International Branch, Islamic Azad University, ABADAN, Iran

2 Department of Industrial Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran,

Abstract

Optimizing the pattern of water consumption and institutionalizing the right structure in the consumer community will lead to improving the quality life parameters, eliminating the unnecessary financial costs and paving the path to global economic justice in the country. The first step to reach this goal is to analyze the behavior and detect the interests of the consumer community. Such an informational background will make it easier to find appropriate solutions to improve the consumption pattern. Data Mining (DM) is one of the most efficient methods to detect and dig out useful structures existing behind raw information with minimum human error. The retrieved conclusions can help analysts solve decision-making problems in various organizations. The goal of this research is to determine the behavior patterns of water consumers in a given period. Data mining method will be used to analyze the consumers’ behavior in between 2015 and 2017. The extracted results about the total consumption of the sample community, the average amount of each user type and their changes will all be shown and reported.

Keywords