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 language | English |
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Pages (from-to) | 223-235 |
Journal | Energy and Buildings |
Volume | 108 |
DOIs | |
Publication status | Published - 2015 |
MoE publication type | A1 Journal article-refereed |
Keywords
- energy consumption distribution
- mathematical modeling
- household
- lognormal distributions
- smart meter data
- AMR