Unsupervised learning of energy signatures to identify the heating system and building type using smart meter data

Paul Westermann, Chirag Deb, Arno Schlueter and Ralph Evins

Applied Energy, 2020, vol. 264, issue C, No S0306261920302270

Abstract: A high-quality building energy retrofit analysis requires knowledge of building characteristics like the type of installed heating system. This means auditing the building in person or conducting a detailed survey, which is not readily scalable for many buildings.

Keywords: Smart meter data; Energy signatures; Unsupervised learning; Dynamic time warping; Clustering; Data mining; Machine learning (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (18)

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DOI: 10.1016/j.apenergy.2020.114715

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