Volume 2, Number 4 (10-2012)                   2012, 2(4): 533-544 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Kaveh A, Shamsapour N, Sheikholeslami R, Mashhadian M. FORECASTING TRANSPORT ENERGY DEMAND IN IRAN USING META-HEURISTIC ALGORITHMS. International Journal of Optimization in Civil Engineering. 2012; 2 (4) :533-544
URL: http://ijoce.iust.ac.ir/article-1-111-en.html

Abstract:   (3555 Views)
This paper presents application of an improved Harmony Search (HS) technique and Charged System Search algorithm (CSS) to estimate transport energy demand in Iran, based on socio-economic indicators. The models are developed in two forms (exponential and linear) and applied to forecast transport energy demand in Iran. These models are developed to estimate the future energy demands based on population, gross domestic product (GDP), and the data of numbers of vehicles (VEH). Transport energy consumption in Iran is considered from 1968 to 2009 as the case of this study. The available data is partly used for finding the optimal, or near optimal values of the weighting parameters (1968-2003) and partly for testing the models (2004-2009). Finally transport energy demand in Iran is forecasted up to the year 2020.
Full-Text [PDF 207 kb]   (1874 Downloads)    
Type of Study: Research | Subject: Optimal design
Received: 2012/10/14

© 2015 All Rights Reserved | Iran University of Science & Technology

Designed & Developed by : Yektaweb