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Long term energy demand forecasting based on hybrid, optimization: Comparative study


Musa, Wahab and Ku-Mahamud, Ku Ruhana and Yasin, Azman (2012) Long term energy demand forecasting based on hybrid, optimization: Comparative study. International Journal of Soft Computing and Software Engineering (JSCSE), 2 (8). p. 28. ISSN 2251-7545

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Abstract

The objective of this research is to develop a long term energy demand forecasting model that used hybrid optimization.To accomplish this goal, a hybrid algorithm that combined a genetic algorithm and a local search algorithm method has been developed to overcome premature convergence.Model performances of hybrid algorithm were compared with former single algorithm model in estimating parameter values of an objective function to measure the goodness-of-fit between the observed data and simulated results.Averages error between two models was adopt to select the proper model for future projection of energy demand.

Item Type: Article
Uncontrolled Keywords: energy demand forecasting, hybrid algorithm, optimization
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Prof. Dr. Ku Ruhana Ku Mahamud
Date Deposited: 09 Jan 2013 06:16
Last Modified: 16 Jan 2013 02:31
URI: http://repo.uum.edu.my/id/eprint/6958

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