Backpropagation neural networks for modeling gasoline consumption

Energy Conversion and Management

Volumn 44, Issue 6, 2003, Pages 893-905

  Nasr, G E ^a   Badr, E A ^a   Joun, C ^a  

^a LEBANESE AMERICAN UNIVERSITY   (Lebanon)

Author keywords

Forecasting; Gasoline consumption; Modeling; Neural networks

Indexed keywords

FORECASTING; GASOLINE; MATHEMATICAL MODELS; NEURAL NETWORKS; TIME SERIES ANALYSIS;

GASOLINE CONSUMPTION;

FUEL CONSUMPTION;

EID: 0037374672     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0196-8904(02)00087-0     Document Type: Article

References (11)

1. Dahl C. Gasoline demand survey. The Energy Journal. 7:1986;67-82.
2. Dahl C., Sterner T. A survey of econometric gasoline demand elasticities. International Journal of Energy Systems. 11:1991;53-76.
3. Espey M. Explaining the variation in elasticity estimates of gasoline demand in the United States: a meta-analysis. Energy Journal. 17:1997;49-60.
4. Sterner T. Gasoline demand in the OECD choice of model and data set in pooled estimation. OPEC Review. (Summer):1990;91-101.
5. Khazzoom J.D. The impact of a gasoline tax on auto exhaust emissions. Journal of Policy Analysis and Management. 10:1991;434-454.
6. Espey M. Pollution control and energy conservation: complements or antagonists? A study of gasoline taxes and automobile fuel economy standards. Energy Journal. 18(2):1997;23-38.
7. Hsing Y. On the variable elasticity of the demand for gasoline: the case of the USA. Energy Economics. 12(2):1990;132-136.
8. Tellis G.J. The price elasticity of selective demand: a meta-analysis of econometric models of sales. Journal of Marketing Research. 25:1988;331-341.
9. Bentzen J., Engsted T. Short and long run elasticities in energy demand: a cointegration approach. Energy Economics. 16(2):1993;139-143.
10. Nasr G.E., Badr E.A., Younes M.R. Neural networks in forecasting electrical energy consumption: univariate and multivariate approaches. International Journal of Energy Research. 26(1):2002;67-68.
11. Park D.C., El-Sharkawi M.A., MarksII R.J., Atlas L.E., Damborg M.J. Electric load forecasting using an artificial neural network. IEEE Transactions on Power Systems. 6(2):1991;442-449.