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

Authors :
Markus Schaffer
Martin Veit
Anna Marszal-Pomianowska
Martin Frandsen
Michal Zbigniew Pomianowski
Emil Dichmann
Christian Grau Sørensen
Jesper Kragh
Source :
Data in Brief, Vol 52, Iss , Pp 109964- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

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.

Details

Language :
English
ISSN :
23523409
Volume :
52
Issue :
109964-
Database :
Directory of Open Access Journals
Journal :
Data in Brief
Publication Type :
Academic Journal
Accession number :
edsdoj.f0fb17b84318434bb81740ac3cb48269
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dib.2023.109964