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Energy Sources, Part A: Recovery, Utilization, and Environmental Effects Volume 33, 2011 - Issue 19
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Original Articles

Using Bees Algorithm and Artificial Neural Network to Forecast World Carbon Dioxide Emission

M. A. Behrang Department of Mechanical Engineering, Islamic Azad University, Dezful Branch, Iran
,
E. Assareh Department of Mechanical Engineering, Islamic Azad University, Dezful Branch, Iran
,
M. R. Assari Department of Mechanical Engineering, Islamic Azad University, Dezful Branch, Iran
&
A. Ghanbarzadeh Department of Mechanical Engineering, Islamic Azad University, Dezful Branch, Iran
Pages 1747-1759 | Received 01 Apr 2010, Accepted 13 May 2010, Published online: 27 Jul 2011

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Yuansheng Huang, Hongwei Wang, Hui Liu & Shijian Liu. (2019) Elman neural network optimized by firefly algorithm for forecasting China's carbon dioxide emissions. Systems Science & Control Engineering 7:2, pages 8-15.
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E. Assareh, M.A. Behrang & A. Ghanbarzadeh. (2012) The Integration of Artificial Neural Networks and Particle Swarm Optimization to Forecast World Green Energy Consumption. Energy Sources, Part B: Economics, Planning, and Policy 7:4, pages 398-410.
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E. Assareh, M.A. Behrang & A. Ghanbarzdeh. (2012) Forecasting Energy Demand in Iran Using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) Methods. Energy Sources, Part B: Economics, Planning, and Policy 7:4, pages 411-422.
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E. Assareh, M.A. Behrang, M. Ghalambaz, A.R. Noghrehabadi & A. Ghanbarzadeh. (2012) An Analysis of Wind Speed Prediction Using Artificial Neural Networks: A Case Study in Manjil, Iran. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 34:7, pages 636-644.
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