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