Comparison of integrated clustering methods for accurate and stable prediction of building energy consumption data

•Summary of recent work identifying sub-groups of energy consumption in buildings.•Clusterwise (or latent class) regression gives superior prediction accuracy.•K-means gives more stable clusters when the correct number of clusters is chosen.•A tradeoff between prediction accuracy and cluster stabili...

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Bibliographic Details
Published in:Applied energy Vol. 160; no. C; pp. 153 - 163
Main Author: Hsu, David
Format: Journal Article
Language:English
Published: United Kingdom Elsevier Ltd 15.12.2015
Elsevier
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ISSN:0306-2619, 1872-9118
Online Access:Get full text
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