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dc.contributor.authorKatamba, James
dc.contributor.authorMujambele, Reagan
dc.contributor.authorLaker, Sharon
dc.contributor.authorKisakye, Joel, Nkanji
dc.date.accessioned2023-01-16T12:16:41Z
dc.date.available2023-01-16T12:16:41Z
dc.date.issued2022-08
dc.identifier.citationKatamba J, et al (2022). Smart Water Analysis and Prediction System(SWAPS)(Unpublished undergraduate dissertation). Makerere University, Kampala, Uganda.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12281/14262
dc.descriptionFinal Year Project Report submitted to the School of computing and Information Technology in Partial fulfillment of the requirements for the degree of software engineering for Makerere University Kampala supervised by Dr Ntanda Moses of the Department of Networks, School of Computing and Informatics Technology, Makerere University.en_US
dc.description.abstractPredicting 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.en_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectSmart Water metreen_US
dc.subjectWater predictionen_US
dc.subjectwater consumptionen_US
dc.subjectSmart water vendingen_US
dc.subjectConsumption forecastingen_US
dc.subjectPrediction modelsen_US
dc.subjectSmart water reporten_US
dc.subjectFinal year projecten_US
dc.titleSmart water analysis and prediction systemen_US
dc.title.alternativeSWAPSen_US
dc.typeThesisen_US


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