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Exploring smart heat meter data: A co-clustering driven approach to analyse the energy use of single-family houses

Markus Schaffer, J. Eduardo Vera-Valdés and Anna Marszal-Pomianowska

Applied Energy, 2024, vol. 371, issue C, No S0306261924009693

Abstract: The ongoing digitalisation of the district heating sector, particularly the installation of smart heat meters (SHMs), is generating data with unprecedented extent and temporal resolution. This data offers potential insights into heat energy use at a large scale, supporting policymakers and district heating utility companies in transforming the building sector. Clustering is crucial for representing this wealth of data in human-understandable groups, necessitating consideration of seasonality.

Keywords: Smart heat meter; District heating; Co-clustering; Classification; Variable selection (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.apenergy.2024.123586

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