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Elförbrukningen i svenska hushåll: En analys inom projektet ”Förbättrad energistatistik i bebyggelsen” för Energimyndigheten
Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Arts and Sciences.
Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Arts and Sciences.
2012 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Electricity consumption in Swedish households : An analysis in the project “Improved energy statistics for settlements” for the Swedish Energy Agency (English)
Abstract [sv]

Energimyndigheten har drivit ett projekt kallat ”Förbättrad energistatistik i bebyggelsen” för att få mer kunskap om energianvändningen i byggnader.  Denna rapport fokuserar på ”Mätning av hushållsel på apparatnivå” som var ett delprojekt.

Diverse regressionsmodeller används i denna rapport för att undersöka sambandet mellan elanvändningen och de olika förklarande variablerna, som exempelvis hushållens bakgrundsvariabler, hushållstyp och geografiska läge, elförbrukningen av olika elapparater samt antalet elapparater.

Datamaterialet innefattar 389 hushåll där de flesta är spridda runt om i Mälardalen. Ett fåtal mätningar gjordes på hushåll i Kiruna och Malmö.

Slutsatsen vi kan dra från denna uppsats är att hushållens bakgrund, hustyp, geografiska läge och antal elapparater samt dessa apparaters typ har relevans för elförbrukningen i ett hushåll.

Abstract [en]

The Swedish Energy Agency conducted a project which is called “Improved energy statistics for settlements”. This report focuses on one field of the project: “households’ electricity use on device level”.

Various regression models are used in the analysis to analyze the relationship between electricity usage and different explanatory variables, for instance: background variables for the household, type of household, geographical setting, usage of different electrical devices and quantity of electrical devices used. 

The data material consists of 389 households which are spread around the region of Märlardalen except for a few households from the communities of Kiruna and Malmö.

The conclusion we can draw from this thesis shows that the background variables for a household, its type, its geographical setting and the amount and type of devices it contains all have a contribution to the electricity usage in the household.

Place, publisher, year, edition, pages
2012. , 78 p.
Keyword [en]
Electricity consumption, light, household, linear regression, dummy variable, imputation, Markov Chain Monte Carlo, Generalized Additive Model
Keyword [sv]
Elförbrukning, belysning, hushåll, linjär regression, dummyvariabel, imputering, Markov Chain Monte Carlo, Generaliserad Additiv Modell
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:liu:diva-90235ISRN: LIU-IDA/STAT-G--12/006--SEOAI: oai:DiVA.org:liu-90235DiVA: diva2:612469
External cooperation
Energimyndigheten
Subject / course
Program in Statistics and Data Analysis
Uppsok
Physics, Chemistry, Mathematics
Supervisors
Projects
Förbättrad energistatistik i bebyggelsen
Available from: 2013-04-02 Created: 2013-03-21 Last updated: 2013-04-02Bibliographically approved

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Probability Theory and Statistics

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CiteExportLink to record
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