Comparison of integrated clustering methods for accurate and stable prediction of building energy consumption data
Clustering methods are often used to model energy consumption for two reasons. First, clustering is often used to process data and to improve the predictive accuracy of subsequent energy models. Second, stable clusters that are reproducible with respect to non-essential changes can be used to group,...
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Elsevier
2019
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| Online Access: | http://hdl.handle.net/1721.1/120459 https://orcid.org/0000-0003-1108-9656 |