A model for generating household electricity load profiles

Jukka Paatero, Peter Lund

Research output: Contribution to journalArticleScientificpeer-review

378 Citations (Scopus)
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Electricity consumption data profiles that include details on the consumption can be generated with a bottom-up load models. In these models the load is constructed from elementary load components that can be households or even their individual appliances. In this work a simplified bottom-up model is presented. The model can be used to generate realistic domestic electricity consumption data on an hourly basis from a few up to thousands of households. The model uses input data that is available in public reports and statistics. Two measured data sets from block houses are also applied for statistical analysis, model training, and verification. Our analysis shows that the generated load profiles correlate well with real data. Furthermore, three case studies with generated load data demonstrate some opportunities for appliance level demand side management (DSM). With a mild DSM scheme using cold loads, the daily peak loads can be reduced 7.2% in average. With more severe DSM schemes the peak load at the yearly peak day can be completely levelled with 42% peak reduction and sudden 3 h loss of load can be compensated with 61% mean load reduction. (c) Copyright 2005 John Wiley & Sons, Ltd.

Original languageEnglish
Pages (from-to)273-290
Number of pages18
JournalInternational Journal of Energy Research
Issue number5
Publication statusPublished - Apr 2006
MoE publication typeA1 Journal article-refereed


  • bottom-up load model
  • household appliance
  • demand side management
  • electric load


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