COFACTOR-residential: Hourly electricity and heating data from residential buildings in Norway

This data descriptor describes three datasets with hourly residential energy use data and building information data from apartments, cabins and single-family houses. The first dataset contains 29 files with energy use data from 29 apartment block condominiums, with hourly time series of both electricity and delivered heat. The second dataset includes 20 files from Risvollan borettslag in Trondheim, covering heating and electricity use at the level of entire apartment blocks and heating centrals, as well as sub-metered electricity data from 1058 individual apartments. The third dataset consists of 194 files with electricity smart meter data from single-family houses, cabins, and apartments equipped with Sikom home energy management systems. The energy use data have been collected in co-operation with distribution system operators and utility providers, directly from building owners as well as from Sikom with permission from their users. Information about the Sikom users have been collected through a user survey. Each dataset is organized into human readable comma-separated txt files with a common structure that includes building information data, hourly records of electricity and heating energy use, and weather variables, with time series durations from several months up to multiple years per building. The data are suitable for tasks such as residential building energy analysis, load profile generation, energy disaggregation, classification tasks, forecasting of energy use, demand flexibility analysis, energy system analysis and other modelling tasks.

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Publication Details

Journal
Data in Brief
Published
2026-02-12
DOI
https://doi.org/10.1016/j.dib.2026.112580
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
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article

COFACTOR-residential: Hourly electricity and heating data from residential buildings in Norway

Harald Taxt Walnum, Åse Lekang Sørensen, Synne Krekling Lien
Data in Brief
Integrated Energy Systems Optimization
article

COFACTOR-residential: Hourly electricity and heating data from residential buildings in Norway

Harald Taxt Walnum, Åse Lekang Sørensen, Synne Krekling Lien
article en

Abstract

This data descriptor describes three datasets with hourly residential energy use data and building information data from apartments, cabins and single-family houses. The first dataset contains 29 files with energy use data from 29 apartment block condominiums, with hourly time series of both electricity and delivered heat. The second dataset includes 20 files from Risvollan borettslag in Trondheim, covering heating and electricity use at the level of entire apartment blocks and heating centrals, as well as sub-metered electricity data from 1058 individual apartments. The third dataset consists of 194 files with electricity smart meter data from single-family houses, cabins, and apartments equipped with Sikom home energy management systems. The energy use data have been collected in co-operation with distribution system operators and utility providers, directly from building owners as well as from Sikom with permission from their users. Information about the Sikom users have been collected through a user survey. Each dataset is organized into human readable comma-separated txt files with a common structure that includes building information data, hourly records of electricity and heating energy use, and weather variables, with time series durations from several months up to multiple years per building. The data are suitable for tasks such as residential building energy analysis, load profile generation, energy disaggregation, classification tasks, forecasting of energy use, demand flexibility analysis, energy system analysis and other modelling tasks.

Data in BriefVol. 65
SINTEF (NO)
Openalex Percentile: Top 57%
Integrated Energy Systems Optimization
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COFACTOR-residential: Hourly electricity and heating data from residential buildings in Norway — Harald Taxt Walnum, Åse Lekang Sørensen, et al. · Data in Brief (2026) | TGRS Research Map | TGRS