شبيه سازي تابع تقاضاي انرژي در ايران با استفاده از الگوريتم بهينه سازي انبوه ذرات (PSO)

Energy Demand Function Simulation in Iran, by Using Particle Swarm Optimization (PSO) Algorithm

In this study, two forms of non-linear energy demand functions are simulated to forecast the future situation of energy demand in Iran (total final energy consumption) by using trend lines of macroeconomic indices. In other words, we study how efficiency of the energy demand estimation in Iran can be improved through use of Particle Swarm Optimization (PSO) algorithm. The PSO-based energy demand Simulation (PSOEDS) model is developed using population gross domestic product and export of goods and services as variables. In this essay, one of the suggested equations is exponential and the other one is quadratic. In energy demand projection, the quadratic form provides better results and can be used for evaluation of energy sector projects in Iran with greater effectiveness.