On the application of clustering techniques for office buildings' energy and thermal comfort classification

IEEE Transactions on Smart Grid

Volumn 3, Issue 4, 2012, Pages 2196-2210

  Nikolaou, Triantafyllia G ^a   Kolokotsa, Dionysia S ^a   Stavrakakis, George S ^a   Skias, Ioannis D ^b  

^a TECHNICAL UNIVERSITY OF CRETE   (Greece)

^b SKIAS Engineering TO   (China)

Author keywords

Buildings; clustering; clustering algorithms; energy efficiency; energy management; parametric study

Indexed keywords

CLASSIFICATION APPROACH; CLASSIFICATION RESULTS; CLUSTERING; CLUSTERING RESULTS; CLUSTERING TECHNIQUES; DATA SETS; EUROPEAN STANDARDS; GAUSSIAN MIXTURE MODEL; INTEGRATED CLASSIFICATION METHOD; K-MEANS; LARGE BUILDINGS; NEURAL ALGORITHM; NUMBER OF CLUSTERS; PARAMETRIC STUDY; VALIDITY INDEX;

BUILDINGS; ENERGY EFFICIENCY; ENERGY MANAGEMENT; OFFICE BUILDINGS; THERMAL COMFORT;

CLUSTERING ALGORITHMS;

EID: 84872189514     PISSN: 19493053     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSG.2012.2215059     Document Type: Article

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