COFACTOR-SBHUB Oslo: Hourly Sub-Metered Energy Use Data from 48 public School Buildings in Oslo, Norway

This article describes a dataset of hourly sub-metered energy use data from 48 school buildings located in Oslo, owned and managed by Oslobygg KF. The dataset consists of 1 comma-delimited file per building, each containing meta data about the building, time series data containing energy use measurements and local weather data. The length of the dataset varies by building, covering between 1 and 11 years of raw data. Raw data for each building was downloaded in 2023 from Oslobygg KF's energy management system, "Energinet." Only buildings with sufficiently reliable sub-metered heating data were included. This process included manual selection, quality-control, relabelling and cleaning to ensure consistency and accuracy. The dataset includes buildings with both electric heating (electric boilers and/or heat pumps) and district heating. All buildings have sub-metered heating data, and some also include sub-meters for domestic hot water heating and photovoltaic electricity generation. The data set can be used for several research and engineering purposes, including benchmarking and validation of building simulations, heating disaggregation, energy use time series classification, forecasting of energy loads and flexibility, grid planning and other modelling activities.

Authors

Institutions

Publication Details

Journal
Data in Brief
Published
2025-11-20
DOI
https://doi.org/10.1016/j.dib.2025.112288
Citations
2
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
2.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

COFACTOR-SBHUB Oslo: Hourly Sub-Metered Energy Use Data from 48 public School Buildings in Oslo, Norway

Aileen Yang, Åse Lekang Sørensen, Harald Taxt Walnum, Bjørn Ludvigsen et al.
2 citations
Data in Brief
Building Energy and Comfort Optimization
2.01
article

COFACTOR-SBHUB Oslo: Hourly Sub-Metered Energy Use Data from 48 public School Buildings in Oslo, Norway

Aileen Yang, Åse Lekang Sørensen, Harald Taxt Walnum, Bjørn Ludvigsen, Synne Krekling Lien, Kamilla Heimar Johra
article en
2 citations

Abstract

This article describes a dataset of hourly sub-metered energy use data from 48 school buildings located in Oslo, owned and managed by Oslobygg KF. The dataset consists of 1 comma-delimited file per building, each containing meta data about the building, time series data containing energy use measurements and local weather data. The length of the dataset varies by building, covering between 1 and 11 years of raw data. Raw data for each building was downloaded in 2023 from Oslobygg KF's energy management system, "Energinet." Only buildings with sufficiently reliable sub-metered heating data were included. This process included manual selection, quality-control, relabelling and cleaning to ensure consistency and accuracy. The dataset includes buildings with both electric heating (electric boilers and/or heat pumps) and district heating. All buildings have sub-metered heating data, and some also include sub-meters for domestic hot water heating and photovoltaic electricity generation. The data set can be used for several research and engineering purposes, including benchmarking and validation of building simulations, heating disaggregation, energy use time series classification, forecasting of energy loads and flexibility, grid planning and other modelling activities.

Data in BriefVol. 63
SINTEF (NO)
Openalex Percentile: Top 12%
Building Energy and Comfort Optimization
2.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.