Applying the k-nearest neihbour algorithm to study response for irrigation water fee of water users

Abstract

Studying water use behavior is one of the solutions from the demand side to help control water resources, which is increasingly depleted. Machine learning approach using the k – nearest neighbour (k-NN) algorithm is used in this paper to study water users' reactions through their ability with irrigation water fees. K-NN is considered as one of the modern methods to classify consumers. The consumer behavior for the possibility of increasing irrigation water fee compared to current levels is also found out. The study was conducted based on investigated data of 222 households in 3 provinces of Thai Nguyen, Nam Dinh and Phu Tho. Keywords: Machine learning, k-nearest neigbour, water user behavior