A hybrid fuzzy mathematical programming-design of experiment framework for improvement of energy consumption estimation with small data sets and uncertainty: The cases of USA, Canada, Singapore, Pakistan and Iran

Energy

Volumn 36, Issue 12, 2011, Pages 6981-6992

  Azadeh, A ^a   Saberi, M ^b,c   Asadzadeh, S M ^a   Khakestani, M ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

^b TAFRESH UNIVERSITY   (Iran)

^c CURTIN UNIVERSITY   (Australia)

Author keywords

Design of experiment; Energy consumption; Fuzzy regression; Hybrid framework; Small data sets; Uncertainty

Indexed keywords

DESIGN; DESIGN OF EXPERIMENTS; ELECTRIC LOAD FORECASTING; ENERGY UTILIZATION; ESTIMATION; EXPERIMENTS; FORECASTING; MATHEMATICAL PROGRAMMING; REGRESSION ANALYSIS;

BEST MODEL; DATA SETS; DYNAMIC STRUCTURE; FUZZY REGRESSIONS; HYBRID FRAMEWORK; PAKISTAN; PERCENTAGE ERROR; SINGAPORE; SMALL DATA SET; UNCERTAINTY;

ANALYSIS OF VARIANCE (ANOVA);

DATA SET; ENERGY USE; ESTIMATION METHOD; EXPERIMENTAL DESIGN; FORECASTING METHOD; FUZZY MATHEMATICS; REGRESSION ANALYSIS; UNCERTAINTY ANALYSIS; VARIANCE ANALYSIS;

IRAN; PAKISTAN; SINGAPORE [SOUTHEAST ASIA]; UNITED STATES;

EID: 82955187336     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2011.07.016     Document Type: Article

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