Electrical energy consumption estimation in water distribution systems using a clustering based method

Abstract

The paper focuses on the development of a method based on representative load profiles of the hydrophore stations, in order to electrical energy consumption estimation in the water distribution system. The proposed method is based on two stages in which K-means clustering algorithm and a load simulation technique are exploited for estimating the electrical energy consumption. The method was tested on an urban water distribution system consists of 73 hydrophore stations. Results obtained demonstrate the ability of the proposed method to become the first step of an efficient management in the water distribution systems.