Determining key variables influencing energy consumption in office buildings through cluster analysis of pre- and post-retrofit building data

[Display omitted] •This study analyses pre- and post-retrofit energy performance data for 56 office buildings in Singapore.•The buildings are classified into clusters using k-means clustering algorithm.•A robust methodology is developed to determine the appropriate variables to be used for clusterin...

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Veröffentlicht in:Energy and buildings 2018-01, Vol.159, p.228-245
Hauptverfasser: Deb, Chirag, Lee, Siew Eang
Format: Artikel
Sprache:eng
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