An improved office building cooling load prediction model based on multivariable linear regression
•The multicollinearity among traditional input variables of cooling load predictions is proven.•PCA is applicable to avoid multicollinearity and improve prediction accuracy.•Including CEHT as an input variable is an effective way to improve prediction accuracy.•Dynamic two-step correction is propose...
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Published in | Energy and buildings Vol. 107; pp. 445 - 455 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
15.11.2015
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Subjects | |
Online Access | Get full text |
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