Forecasting Iran’s Energy Demand Using Cuckoo Optimization Algorithm
Joint Authors
Jalaee, Sayyed Abdolmajid
GhasemiNejad, Amin
Lashkary, Mehrdad
Rezaee Jafari, Maryam
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-09-02
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This study deals with the modeling of the energy consumption in Iran to forecast future projections based on socioeconomic and demographic variables (GDP, population, import and export amounts, and employment) using the cuckoo optimization algorithm.
For this purpose, four diverse models including different indicators were used in the analyses.
Linear and power forms of equations are developed for each model.
The related data between 1972 and 2013 were used, partly for installing the models.
The result of the models shows that the obtained demand estimation linear models are in closer agreement with the observed data, particularly the linear model with five independent variables including GDP, population, import, export, and employment, which outperformed other linear models.
Finally, the future energy demand of Iran is forecasted up to the year 2030 using these models under three scenarios.
American Psychological Association (APA)
Jalaee, Sayyed Abdolmajid& GhasemiNejad, Amin& Lashkary, Mehrdad& Rezaee Jafari, Maryam. 2019. Forecasting Iran’s Energy Demand Using Cuckoo Optimization Algorithm. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1194600
Modern Language Association (MLA)
Jalaee, Sayyed Abdolmajid…[et al.]. Forecasting Iran’s Energy Demand Using Cuckoo Optimization Algorithm. Mathematical Problems in Engineering No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1194600
American Medical Association (AMA)
Jalaee, Sayyed Abdolmajid& GhasemiNejad, Amin& Lashkary, Mehrdad& Rezaee Jafari, Maryam. Forecasting Iran’s Energy Demand Using Cuckoo Optimization Algorithm. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1194600
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194600