Practical lognormal framework for household energy consumption modeling

Pirkko Kuusela, Ilkka Norros, Robert Weiss, Tomi Sorasalmi

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)

Abstract

Substantial variability of household energy consumption is essential to recognize. In particular the variability occurs towards large magnitudes. This work focuses on modeling the distribution of household annual energy consumptions and promoting a practical modeling framework resulting to explicit models. Lognormal distributions describe well energy consumption of households that do not use electricity for heating. We model at city district level how consumption distributions depend on district housing characteristics. At individual household level, the joint distribution of the annual electricity consumption and key household characteristic (number of persons, floor area, number of bedrooms), is well approximated by multivariate lognormal distributions. This work utilizes numerous data sources: household annual electricity consumption data for city districts, city summary data on housing and people, data on sold apartments, and Irish Automatic Meter Reading (AMR) data with test survey information. We also demonstrate a process for adjusting the models when data relating individual household energy consumption with other characteristics are not available.
Original languageEnglish
Pages (from-to)223-235
JournalEnergy and Buildings
Volume108
DOIs
Publication statusPublished - 2015
MoE publication typeA1 Journal article-refereed

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Energy utilization
Electricity
Heating

Keywords

  • energy consumption distribution
  • mathematical modeling
  • household
  • lognormal distributions
  • smart meter data
  • AMR

Cite this

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title = "Practical lognormal framework for household energy consumption modeling",
abstract = "Substantial variability of household energy consumption is essential to recognize. In particular the variability occurs towards large magnitudes. This work focuses on modeling the distribution of household annual energy consumptions and promoting a practical modeling framework resulting to explicit models. Lognormal distributions describe well energy consumption of households that do not use electricity for heating. We model at city district level how consumption distributions depend on district housing characteristics. At individual household level, the joint distribution of the annual electricity consumption and key household characteristic (number of persons, floor area, number of bedrooms), is well approximated by multivariate lognormal distributions. This work utilizes numerous data sources: household annual electricity consumption data for city districts, city summary data on housing and people, data on sold apartments, and Irish Automatic Meter Reading (AMR) data with test survey information. We also demonstrate a process for adjusting the models when data relating individual household energy consumption with other characteristics are not available.",
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author = "Pirkko Kuusela and Ilkka Norros and Robert Weiss and Tomi Sorasalmi",
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Practical lognormal framework for household energy consumption modeling. / Kuusela, Pirkko; Norros, Ilkka; Weiss, Robert; Sorasalmi, Tomi.

In: Energy and Buildings, Vol. 108, 2015, p. 223-235.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Practical lognormal framework for household energy consumption modeling

AU - Kuusela, Pirkko

AU - Norros, Ilkka

AU - Weiss, Robert

AU - Sorasalmi, Tomi

N1 - SDA: MIP: Intelligent Energy Grids

PY - 2015

Y1 - 2015

N2 - Substantial variability of household energy consumption is essential to recognize. In particular the variability occurs towards large magnitudes. This work focuses on modeling the distribution of household annual energy consumptions and promoting a practical modeling framework resulting to explicit models. Lognormal distributions describe well energy consumption of households that do not use electricity for heating. We model at city district level how consumption distributions depend on district housing characteristics. At individual household level, the joint distribution of the annual electricity consumption and key household characteristic (number of persons, floor area, number of bedrooms), is well approximated by multivariate lognormal distributions. This work utilizes numerous data sources: household annual electricity consumption data for city districts, city summary data on housing and people, data on sold apartments, and Irish Automatic Meter Reading (AMR) data with test survey information. We also demonstrate a process for adjusting the models when data relating individual household energy consumption with other characteristics are not available.

AB - Substantial variability of household energy consumption is essential to recognize. In particular the variability occurs towards large magnitudes. This work focuses on modeling the distribution of household annual energy consumptions and promoting a practical modeling framework resulting to explicit models. Lognormal distributions describe well energy consumption of households that do not use electricity for heating. We model at city district level how consumption distributions depend on district housing characteristics. At individual household level, the joint distribution of the annual electricity consumption and key household characteristic (number of persons, floor area, number of bedrooms), is well approximated by multivariate lognormal distributions. This work utilizes numerous data sources: household annual electricity consumption data for city districts, city summary data on housing and people, data on sold apartments, and Irish Automatic Meter Reading (AMR) data with test survey information. We also demonstrate a process for adjusting the models when data relating individual household energy consumption with other characteristics are not available.

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KW - mathematical modeling

KW - household

KW - lognormal distributions

KW - smart meter data

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