Benchmarking whole-building energy performance with multi-criteria technique for order preference by similarity to ideal solution using a selective objective-weighting approach

Applied Energy

Volumn 146, Issue , 2015, Pages 92-103

  Wang, Endong ^a  

^a Graduate School of Computational Engineering   (United States)

Author keywords

Benchmarking; Multi criteria; Objective weighting; TOPSIS; Whole building energy performance

Indexed keywords

CLUSTERING ALGORITHMS; ECONOMIC AND SOCIAL EFFECTS; ENERGY EFFICIENCY; LINEAR REGRESSION; PRINCIPAL COMPONENT ANALYSIS; QUALITY CONTROL; REGRESSION ANALYSIS;

BUILDING ENERGY EFFICIENCY; BUILDING ENERGY PERFORMANCE; MULTI-CRITERIA; MULTIPLE LINEAR REGRESSIONS; OBJECTIVE-WEIGHTING; TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTIONS; TOPSIS; WEIGHTING APPROACHES;

BENCHMARKING;

ALGORITHM; BENCHMARKING; DATA QUALITY; ENERGY EFFICIENCY; MULTICRITERIA ANALYSIS; PERFORMANCE ASSESSMENT; PRINCIPAL COMPONENT ANALYSIS;

EID: 84924210322     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2015.02.048     Document Type: Article

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