Backpropagation neural networks for modeling gasoline consumption
- 1 April 2003
- journal article
- Published by Elsevier in Energy Conversion and Management
- Vol. 44 (6) , 893-905
- https://doi.org/10.1016/s0196-8904(02)00087-0
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Neural networks in forecasting electrical energy consumption: univariate and multivariate approachesInternational Journal of Energy Research, 2001
- Pollution Control and Energy Conservation: Complements or Antagonists? A Study of Gasoline Taxes and Automobile Fuel Economy StandardsThe Energy Journal, 1997
- Explaining the Variation in Elasticity Estimates of Gasoline Demand in the United States: A Meta-AnalysisThe Energy Journal, 1996
- An empirical analysis of gasoline demand in Denmark using cointegration techniquesEnergy Economics, 1994
- Electric load forecasting using an artificial neural networkIEEE Transactions on Power Systems, 1991
- The Impact of a Gasoline Tax on Auto Exhaust EmissionsJournal of Policy Analysis and Management, 1991
- On the variable elasticity of the demand for gasolineEnergy Economics, 1990
- The Price Elasticity of Selective Demand: A Meta-Analysis of Econometric Models of SalesJournal of Marketing Research, 1988
- Gasoline Demand SurveyThe Energy Journal, 1986