Multi-criteria building energy performance benchmarking through variable clustering based compromise TOPSIS with objective entropy weighting

Energy

Volumn 125, Issue , 2017, Pages 197-210

  Wang, Endong ^a   Alp, Neslihan ^a   Shi, Jonathan ^b   Wang, Chao ^b   Zhang, Xiaodong ^c   Chen, Hong ^d  

^a Graduate School of Computational Engineering   (United States)

^b LOUISIANA STATE UNIVERSITY   (United States)

^c CHONGQING COMMUNICATIONS RESEARCH AND DESIGN INSTITUTE   (China)

^d ZHENGZHOU UNIVERSITY   (China)

Author keywords

Building energy performance; Clustering around Latent Variables; Multi criteria benchmarking; Shannon entropy; TOPSIS

Indexed keywords

BUILDINGS; DECISION THEORY; ENERGY EFFICIENCY; INFORMATION THEORY; ITERATIVE METHODS; REGRESSION ANALYSIS;

BUILDING ENERGY PERFORMANCE; LATENT VARIABLE; MULTI-CRITERIA; SHANNON ENTROPY; TOPSIS;

BENCHMARKING;

ALGORITHM; BENCHMARKING; BUILDING; ENERGY BUDGET; ENTROPY; MULTICRITERIA ANALYSIS; NUMERICAL METHOD;

EID: 85014058164     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2017.02.131     Document Type: Article

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