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dc.contributor.advisorChunming, Rong
dc.contributor.advisorFarmanbar, Mina
dc.contributor.advisorMehdipourpirbazari, Aida
dc.contributor.authorNwemambu, Chibuzor Valentina
dc.date.accessioned2019-10-07T08:19:34Z
dc.date.available2019-10-07T08:19:34Z
dc.date.issued2019-06-15
dc.identifier.urihttp://hdl.handle.net/11250/2620532
dc.descriptionMaster's thesis in Computer sciencenb_NO
dc.description.abstractThe need to change the source of electricity generation is apparent in the effect of climate change on the environment. Asides from the source change to renewable energy, the necessity for residents to understand their consumption rates and patterns is paramount to help reduce CO2 emission and thereby reduce climate change.This thesis discusses and implements the machine learning algorithm; K-Means clustering method, on a dataset derived from a town in Norway. The dataset is split into various features, to reveal the cluster and consumption patterns, their peak, off-peak, as well as mid-peak periods, in order to identify times where energy wastage can be minimized.It also experiments and compares two other algorithms; Hierarchical clustering and DBSCAN method, against the K-Means method, showing their differences and similarities,thereby deciding which algorithm is best suited for clustering the provided datasetnb_NO
dc.language.isoengnb_NO
dc.publisherUniversity of Stavanger, Norwaynb_NO
dc.relation.ispartofseriesMasteroppgave/UIS-TN-IDE/2019;
dc.subjectinformasjonsteknologinb_NO
dc.subjectK-Means clusteringnb_NO
dc.subjectDBSCANnb_NO
dc.subjectsmart meternb_NO
dc.subjectdatateknologinb_NO
dc.subjectdatateknikknb_NO
dc.subjectmaskinlæringnb_NO
dc.subjecthierarchical clusteringnb_NO
dc.subjectpower consumptionnb_NO
dc.subjectstrømforbruknb_NO
dc.subjectmachine learningnb_NO
dc.titleAnalysis of Residential Household Energy Consumption Using Smart Meter Datanb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber1-89nb_NO


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  • Master's theses (TN-IDE) [248]
    Masteroppgaver i Teknologi/sivilingeniør: informasjonsteknologi, datateknikk / Masteroppgaver i Teknologi/sivilingeniør: kybernetikk, signalbehandling

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