Exploring Smart Heat Meter Data: A Co-Clustering Driven Approach to Analyse the Energy Use of Single-Family Houses

Abstract

Advancing current research in clustering smart heat meters data, this work applies an established co-clustering approach, FunLBM, considering seasonal variation without fixed season definitions. Furthermore, to enhance the understanding of differentiating factors between clusters, the possibility to understand cluster memberships based on building characteristics was analysed using classification and variable selection methods.

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Text

Schaffer, M., Vera-Valdés, J.E., and Marszal-Pomianowska, A. (2024). “Exploring smart heat meter data: A co-clustering driven approach to analyse the energy use of single-family houses”. Applied Energy. 371(123586). https://doi.org/10.1016/j.apenergy.2024.123586

BibTex

@article{SCHAFFER2024b,
    title = {Exploring smart heat meter data: A co-clustering driven approach to analyse the energy use of single-family houses},
    author = {Markus Schaffer and J. Eduardo Vera-Valdés and Anna Marszal-Pomianowska},
    journal = {Applied Energy},
    volume = {371},
    pages = {123586},
    year = {2024},
    issn = {0306-2619},
    doi = {https://doi.org/10.1016/j.apenergy.2024.123586},
    url = {https://www.sciencedirect.com/science/article/pii/S0306261924009693}
}