Smart water analysis and prediction system

Abstract

Predicting water demand helps decision-makers allocate regional water resources efficiently, thereby preventing water wastage and shortage. The aim of this study is to predict water demand in Kampala central part of Uganda specifically with people commercializing water as a business. The explanatory variables associated with economy, community, water use, resource availability and other natural factors were identified. We conducted research with a number of vendors and collected both primary and secondary data. It has been found that water demand is more significantly correlated with the climatic variables.