Unknown

Dataset Information

0

Dataset of smart heat and water meter data with accompanying building characteristics.


ABSTRACT: The data presented were sourced from 34,884 commercial smart heat meters and 10,765 commercial smart water meters, spanning a timeframe of up to 5 years (2018-2022). All data primarily originated from single-family houses in Aalborg Municipality, Denmark. Furthermore, comprehensive building characteristics were collected for each building, where available, from the Danish Building and Dwelling Register (BBR) and Energy Performance Certificate (EPC) input data. This effort yielded an extensive pool of up to 86 distinct characteristics per building. All smart meter data were processed employing a well-established methodology, resulting in equidistant hourly data without any erroneous or missing values. The building characteristics derived from the EPCs were additionally filtered using rule sets to improve the data quality. This dataset holds substantial value for researchers involved in the domains of the built environment, district heating, and water sectors.

SUBMITTER: Schaffer M 

PROVIDER: S-EPMC10792731 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Dataset of smart heat and water meter data with accompanying building characteristics.

Schaffer Markus M   Veit Martin M   Marszal-Pomianowska Anna A   Frandsen Martin M   Pomianowski Michal Zbigniew MZ   Dichmann Emil E   Sørensen Christian Grau CG   Kragh Jesper J  

Data in brief 20231215


The data presented were sourced from 34,884 commercial smart heat meters and 10,765 commercial smart water meters, spanning a timeframe of up to 5 years (2018-2022). All data primarily originated from single-family houses in Aalborg Municipality, Denmark. Furthermore, comprehensive building characteristics were collected for each building, where available, from the Danish Building and Dwelling Register (BBR) and Energy Performance Certificate (EPC) input data. This effort yielded an extensive po  ...[more]

Similar Datasets

| S-EPMC10781956 | biostudies-literature
| S-EPMC10375552 | biostudies-literature
| PRJNA487710 | ENA
| S-EPMC7057198 | biostudies-literature
| S-EPMC7591488 | biostudies-literature
| S-EPMC11244596 | biostudies-literature
| S-EPMC8293931 | biostudies-literature
| S-EPMC8715129 | biostudies-literature
| S-EPMC5686474 | biostudies-literature
| PRJNA836918 | ENA