Genetic Algorithm (GA) Approaches for the Transport Energy Demand Estimation: Model Development and Application
Articles > Article ยท 2006
Authors: Olcay Ersel Canyurt, Harun Kemal Ozturk, Arif Hepbasli, Zafer Utlu
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, International, Scopus, 2006, vol 28, pp 1405-1413
DOI: 10.1080/15567030600917033
Summary
This study deals with estimating future transport energy demand using genetic algorithm (GA) approach. Genetic algorithm transport energy demand (GATENDM) model is developed based on socio-economic indicators (population, gross domestic product (GDP), import and export) and transportation indicators/parameters (car, bus, and truck sales). The GATENDM model developed is applied to Turkey, which is selected as an application country. This model in a quadratic form was found to provide the best fit solution to the observed data. It may be concluded that the model proposed can be used as an alternative solution and estimation technique to available estimation technique in predicting the future transportation energy utilization values of countries.