Transport energy demand forecast using multi-level genetic programming

Applied Energy

Volumn 91, Issue 1, 2012, Pages 496-503

  Forouzanfar, Mehdi ^a   Doustmohammadi, A ^a   Hasanzadeh, Samira ^b   Shakouri G, H ^c  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^b TARBIAT MODARES UNIVERSITY   (Iran)

^c UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Forecasting; Genetic programming; Modeling; Transport energy demand

Indexed keywords

ENERGY MANAGEMENT; FORECASTING; MODELS; NEURAL NETWORKS; TIME SERIES;

DATA RANGES; ENERGY DATA; FUZZY LINEAR REGRESSION; GROSS DOMESTIC PRODUCTS; MULTI-LEVEL; NON-LINEAR OPTIMIZATION PROBLEMS; NUMBER OF VEHICLES; SECOND LEVEL; THREE PARAMETERS; TIME INTERVAL; TIME SERIES MODELS; TRANSPORT ENERGY;

GENETIC PROGRAMMING;

ARTIFICIAL NEURAL NETWORK; DEMAND ANALYSIS; ENERGY USE; FORECASTING METHOD; FUTURE PROSPECT; FUZZY MATHEMATICS; GENETIC ALGORITHM; GROSS DOMESTIC PRODUCT; OPTIMIZATION; REGRESSION ANALYSIS; TIME SERIES; TRANSPORTATION;

IRAN;

EID: 81055134788     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2011.08.018     Document Type: Article

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