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Looking for Patterns in Residential Electricity Consumption
Mälardalens högskola, Akademin för utbildning, kultur och kommunikation, Utbildningsvetenskap och Matematik. Eastern European University, Lutsk, Ukraine. (Mathematics and Applied Mathematics)
Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, Framtidens energi.ORCID-id: 0000-0003-4589-7045
2014 (Engelska)Ingår i: Energy Procedia, ISSN 1876-6102, E-ISSN 1876-6102, Vol. 61, s. 1768-1771Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Residential electricity consumption is an important part of general energy use. Its detailed investigation, however, requires rich empirical data, here the data of Swedish households. The individual consumption is a time series of readings at certain time intervals (hourly, every ten minutes, or every minute, say). Series exhibit patterns, in terms of which they may be compared, and it is desirable to model similarity. Classical statistical methods (correlation, factor, and cluster analyses) are presently used for this purpose; they have the advantage of being more explicit than the techniques of adaptive data analysis that may recently have become excessively popular. The present work is methodological, preceding any massive statistical analyses. Factor analysis allowed describing individual styles in terms of time intervals (during a day) of maximal variability. Cluster analysis was used for finding groups of days with similar patterns; the obtained clusters can help interpreting the results of other methods. Comparing two households requires comparing two sets of time series; correlation analysis quantified the similarity between them.

Ort, förlag, år, upplaga, sidor
2014. Vol. 61, s. 1768-1771
Nyckelord [en]
Electricity consumption, Pattern, Pearson correlation, Geometric mean
Nationell ämneskategori
Matematik Sannolikhetsteori och statistik
Forskningsämne
matematik/tillämpad matematik
Identifikatorer
URN: urn:nbn:se:mdh:diva-27332DOI: 10.1016/j.egypro.2014.12.208ISI: 000375936100393Scopus ID: 2-s2.0-84922349085OAI: oai:DiVA.org:mdh-27332DiVA, id: diva2:782093
Konferens
6th International Conference on Applied Energy, ICAE 2014; National Taiwan University of Science and TechnologyTaipei; Taiwan; 30 May 2014 through 2 June 2014
Tillgänglig från: 2015-01-19 Skapad: 2015-01-19 Senast uppdaterad: 2017-12-05Bibliografiskt granskad

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Wallin, Fredrik

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