COFACTOR-Residential Dataset 3

COFACTOR-Residential Dataset 3 is a dataset from the COFACTOR project containg hourly time series electricity use and weather data from 194 residential units in Norway including single family houses, apartments and cabins.

Dataset 3 contains hourly sub-metered energy use data from 194 residential units, including single family houses, apartments and cabins. The data is collected from Sikom Connect AS in the COFACTOR project. Sikom is a Norwegian company specializing in smart control solutions for heating, electricity, and security in homes and cabins. Established in 1997, Sikom has become a leading provider of remote cabin heating solutions, commonly known in Norway as "Ring Hytta Varm," allowing users to control heating and monitor energy consumption via mobile devices. They also sell smart thermostats, heating control units, and control systems for homes and cottages. Users of SIKOMs systems were invited to share their hourly, total electricity consumption data (AMS-measurements) and to participate in a survey about their property for research purposes. 194 property owners (5 apartments, 154 cabins and 35 houses) volunteered to share their energy use data and filled in the survey. The duration of the time series data varies between a few months to two years. COFACTOR-Residential Dataset 3 contains one csv-file per building. The CSV-files in the dataset contains meta data about the buildings and hourly time series data containing energy use and weather data. The files in Dataset 3 only contain one energy meter per building which is “ElImp”, the AMS-meter that shows the hourly imported electricity use.

Data descriptor: https://doi.org/10.1016/j.dib.2026.112580

Data Summary
- Number of files: 194
- Time series resolution: Hourly
- Time series duration: Variable between 2021-2023.

Files and Structure
The README-file explains all codes and structure of the CSV-files.
Each CSV file in the zip-folder consists of:
1. Metadata Section
- General building details including ID, construction year, floor area, number of buildings and number of units.
- Heating system details
2. Time Series Data Section
- Timestamp format: %Y-%m-%dT%H:%M:%S%z (local normal time: CET, UTC+01:00)
- Weather columns: outdoor temperature, wind speed, wind direction and global solar radiation
- Energy columns: Electricity imported Main meters "ElImp" [Wh/h]

Survey and responses:
The full survey and responses from SIKOM customers are published anonymized and in Norwegian with the users consent here: https://data.sintef.no/feature/fe-ee76ecb6-49be-42d4-acf6-13da0513fa59

Citation
If you use this dataset, please cite:
Åse Lekang Sørensen, Synne Krekling Lien, Harald Taxt Walnum,
COFACTOR-residential: Hourly electricity and heating data from residential buildings in Norway. Data in Brief, Volume 65, 2026, 112580, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2026.112580.

Contacts
For questions about the dataset, contact:
Synne Krekling Lien (SINTEF Community)
Email: [e-mail]
Harald Taxt Walnum (SINTEF Community)
Email:[e-mail]

Acknowledgements
The dataset is published with permission and help from Dråpe Entreprenør AS, Elvia (DSO), and Sikom Connect AS and we greatly acknowledge them for sharing the access to the data. The dataset is provided by the projects “Coincidence factors and peak loads of buildings in the Norwegian low carbon society” (COFACTOR) funded by Research Council of Norway and partners through grant number 326891. The authors gratefully acknowledge the support from the Research Council of Norway and research partners.