Simulation of Electricity Demand Function in Agricultural Sector: An Application of Genetic Algorithm (Case Study: Electricity-Fed Wells of Iran)
Hossein Sadeghi1 * , Samaneh Khaksar Astaneh1 , Mohammadhadi Hajian2 and Shahdokht Azadi1
1
TarbiatModares University,
Tehran
Iran
2
Economics Department,
TarbiatModares University,
Tehran
Iran
http://dx.doi.org/10.12944/CWE.9.3.10
Due to several problems arisen from consumption of gas oil, it is necessary to electricity substitute fossil fuels in agriculture wells in Iran. Problems such as lack of opportune and adequate supply of fuel, air and soil pollution, noise pollution and huge costs of installation, operation and maintenance imply the necessity of replacing gas oil systems by electricity-consuming ones in agriculture sector of Iran.However, it is essential to study on the demand of electricity, nowadays, substituting other energy sources.As water wells are the main electricity consumersin agriculture sector, the estimation of energy demand function would be beneficial for policy makers to achieve their goals. The present paper investigates on energy demand function in agriculture sector of Iran.Genetic algorithm techniques are appliedto estimate electricity demand in agricultural sector in three forms: linear, quadratic and exponential equations. Based on the conventional criteria, the exponential model is selected as the best model for estimation. Furthermore, electricity demand of agricultural sector is forecasted under three scenarios for years next three years.
Copy the following to cite this article:
Sadeghi H, Astaneh S. K, Hajian M, Azadi S. Simulation of Electricity Demand Function in Agricultural Sector: An Application of Genetic Algorithm (Case Study: Electricity-Fed Wells of Iran). Curr World Environ 2014;9 (3) DOI:http://dx.doi.org/10.12944/CWE.9.3.10
Copy the following to cite this URL:
Sadeghi H, Astaneh S. K, Hajian M, Azadi S. Simulation of Electricity Demand Function in Agricultural Sector: An Application of Genetic Algorithm (Case Study: Electricity-Fed Wells of Iran). Curr World Environ 2014;9(3). Available from: http://cwejournal.org?p=542/
