Forecast Global Carbon Dioxide Emission By Use of Genetic Algorithm (GA)
Global climate change due to CO2 emissions is an issue of international concern that primarily attributed to fossil fuels. In this study, Genetic Algorithm (GA) is used for analyzing world CO2 emission based on the global energy consumption. Linear and non-linear forms of equations were developed to forecast CO2 emission using Genetic Algorithm (GA) based on the global oil, natural gas, coal, and primary energy consumption figures. The related data between 1980 and 2010 were used, partly for installing the models (finding candidates of best weighting factors for each model (1980-2003)) and partly for testing the models (2004–2010). Global CO2 emission is forecasted up to year 2030.
Keywords: Genetic Algorithm (GA); Fossil fuels; Primary Energy; Carbon Dioxide Emission; Forecasting.
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ABOUT THE AUTHORS
Hassan Kavoosi
Ph.D Student at Sharif University of Technology, School of Mechanical Engineering, I have ten ISI paper about renewable energy and genetic algorithm.
Maryam Kavoosi
Received the B.S degree in computer Engineering from the shahid chamran ahvaz university and M.S degree in computer Engineering from ahvaz science and research branch in iran, in 2007.
Mohammad Hassan Saidi
Sharif University of Technology, School of Mechanical Engineering
Korresh Kavoosi Rekati
Mechanical Engineering
Hassan Kavoosi
Ph.D Student at Sharif University of Technology, School of Mechanical Engineering, I have ten ISI paper about renewable energy and genetic algorithm.
Maryam Kavoosi
Received the B.S degree in computer Engineering from the shahid chamran ahvaz university and M.S degree in computer Engineering from ahvaz science and research branch in iran, in 2007.
Mohammad Hassan Saidi
Sharif University of Technology, School of Mechanical Engineering
Korresh Kavoosi Rekati
Mechanical Engineering
