Datasets
Datasets
License: This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This dataset includes three years of cleaned hourly data from 3021 commercial smart heat meters installed in Danish residential buildings. The data are screened, interpolated to be equidistant, and missing values were imputed using a weighted moving average combined with a scaling algorithm to obey the data's cumulative trend. The original (anonymised) raw data of 3127 smart heat meters are also provided to increase transparency and reproducibility. Together with the consumption data, contextual information about the construction year, the type of building, and, if available, the energy label for the smart heat meters buildings (for all 3127 buildings of the raw data) are provided. The unique meter ID can link this data to the consumption data. A .pdf document describing the purpose of every data column is given in the folder '01_Data'. Besides this, three figures visualising the z-normalised data in different temporal resolutions are provided. Next to the data and the data visualisation, all code, written in R, used for data processing and extensive technical validation of the data is included. For a more extensive description, we would like to refer to our peer-reviewed open-access article describing the dataset and its processing: https://doi.org/10.1038/s41597-022-01502-3. Please also consider citing this article if you use this dataset. (Schaffer, M., Tvedebrink, T. & Marszal-Pomianowska, A. Three years of hourly data from 3021 smart heat meters installed in Danish residential buildings. Sci Data 9, 420 (2022).
https://doi.org/10.1038/s41597-022-01502-3
DOI: https://doi.org/10.54337/aau456230861
License: This dataset is licensed under a Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license.
The aim of this technical report is to present and give an overview of a dataset collecting the main thermo-physical properties of various common construction and building materials used in the built environment and composing elements of buildings and infrastructures. In addition, suggestions and recommendations are made for the thermo-physical properties of the materials composing the indoor content and furniture elements present in the built environment.
All the data can be visualised on the online web app (Dash app): https://therm-properties-build-mat.herokuapp.com/