An energy benchmarking model based on artificial neural network method utilizing US Commercial Buildings Energy Consumption Survey (CBECS) database

International Journal of Energy Research

Volumn 31, Issue 4, 2007, Pages 412-421

  Yalcintas, Melek ^a   Ozturk, U Aytun ^b  

^a Amel Technologies Inc   (United States)

^b HAWAII PACIFIC UNIVERSITY   (United States)

Author keywords

Artificial neural network; Commercial buildings; Energy; Model

Indexed keywords

BENCHMARKING; BUILDINGS; CORRELATION METHODS; DATABASE SYSTEMS; LINEAR REGRESSION; MATHEMATICAL MODELS; MEAN SQUARE ERROR; NEURAL NETWORKS;

CORRELATION COEFFICIENT; ENERGY BENCHMARKING MODEL; MULTI-LINEAR REGRESSION MODELS;

ENERGY UTILIZATION;

BENCHMARKING; BUILDINGS; CORRELATION METHODS; DATABASE SYSTEMS; ENERGY UTILIZATION; LINEAR REGRESSION; MATHEMATICAL MODELS; MEAN SQUARE ERROR; NEURAL NETWORKS;

EID: 34250898707     PISSN: 0363907X     EISSN: 1099114X     Source Type: Journal    
DOI: 10.1002/er.1232     Document Type: Article

References (11)

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