Genetic algorithm (GA) approaches for the transport energy demand estimation: Model development and application
Küçük Resim Yok
Tarih
2006
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Taylor & Francis Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
Anahtar Kelimeler
genetic algorithm, GA, energy, energy planning, energy modeling, energy policy, future projections, transportation, Turkey
Kaynak
Energy Sources Part A-Recovery Utilization and Environmental Effects
WoS Q Değeri
Q4
Scopus Q Değeri
Q2
Cilt
28
Sayı
15
