Track: Machine Learning
This paper concerns one of the most important elements in economic life, which is water. Normally, the user, who is responsible to manage water services, is not aware about the consumption situation prior to issuing the bill, so, this research proposes innovative managerial techniques to monitor water consumption across the network. Machine learning is used through clustering techniques to achieve the monitoring goal, which contributes towards decision making, fault prediction, and data management processes.in facility management. Artificial Neural Network is the specific part of the chosen technique and Python is used as a tool to implement the method. A case study is applied in one of the universities and a network including six locations is studied at a specific time. The method shows a significant result where the consumption at three locations were found high and accordingly, the user made further inspection and continuous monitoring about the network in discussion.