AI Article Synopsis
- The study analyzed data from 34,884 smart heat meters and 10,765 smart water meters from single-family houses in Aalborg Municipality, Denmark, over a 5-year period from 2018 to 2022.
- Comprehensive building characteristics were obtained from the Danish Building and Dwelling Register and Energy Performance Certificates, leading to up to 86 distinct attributes for each building.
- The data was meticulously processed to ensure high quality, resulting in equidistant hourly data without errors, making it a valuable resource for researchers in the fields of built environment, district heating, and water management.
Article 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.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10792731 | PMC |
| http://dx.doi.org/10.1016/j.dib.2023.109964 | DOI Listing |
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