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Energy Sources, Part B: Economics, Planning, and Policy Volume 6, 2011 - Issue 3
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Original Articles

Total Energy Demand Estimation in Iran Using Bees Algorithm

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 294-303 | Received 29 Oct 2009, Accepted 21 Nov 2009, Published online: 06 Jul 2011

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Mert Demircioğlu & Sevgi Eşİyok. (2022) Energy consumption forecast of Turkey using artificial neural networks from a sustainability perspective. International Journal of Sustainable Energy 41:8, pages 1127-1141.
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Ergun Uzlu. (2019) Application of Jaya algorithm-trained artificial neural networks for prediction of energy use in the nation of Turkey. Energy Sources, Part B: Economics, Planning, and Policy 14:5, pages 183-200.
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Ersin Korkmaz & Ali Payıdar Akgüngör. (2018) Flower pollination algorithm approach for the transportation energy demand estimation in Turkey: model development and application. Energy Sources, Part B: Economics, Planning, and Policy 13:11-12, pages 429-447.
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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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Basharat Jamil, Lucía Serrano-Luján & José Manuel Colmenar. (2022) On the Prediction of One-Year Ahead Energy Demand in Turkey using Metaheuristic Algorithms. Advances in Science, Technology and Engineering Systems Journal 7:4, pages 79-91.
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Mahdis sadat Jalaee, Alireza Shakibaei, Amin GhasemiNejad, Sayyed Abdolmajid Jalaee & Reza Derakhshani. (2021) A Novel Computational Intelligence Approach for Coal Consumption Forecasting in Iran. Sustainability 13:14, pages 7612.
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Alireza Fallahpour, Kuan Yew Wong, Srithar Rajoo & Guangdong Tian. (2021) An evolutionary-based predictive soft computing model for the prediction of electricity consumption using multi expression programming. Journal of Cleaner Production 283, pages 125287.
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Emre YAKUT & Ezel ÖZKAN. (2020) Modeling of Energy Consumption Forecast with Economic Indicators Using Particle Swarm Optimization and Genetic Algorithm: An Application in Turkey between 1979 and 2050. Alphanumeric Journal 8:1, pages 59-78.
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Ersin Korkmaz & Ali Payıdar Akgüngör. (2018) Comparison of artificial bee colony and flower pollination algorithms in vehicle delay models at signalized intersections. Neural Computing and Applications 32:8, pages 3581-3597.
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Sayyed Abdolmajid Jalaee, Amin GhasemiNejad, Mehrdad Lashkary & Maryam Rezaee Jafari. (2019) Forecasting Iran’s Energy Demand Using Cuckoo Optimization Algorithm. Mathematical Problems in Engineering 2019, pages 1-8.
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Ergun UZLU. (2019) Türkiye için gri kurt optimizasyon algoritması ile yapay sinir ağlarını kullanarak enerji tüketiminin tahmini. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji 7:2, pages 245-262.
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Bo Zeng & Chengming Luo. (2017) Forecasting the total energy consumption in China using a new-structure grey system model. Grey Systems: Theory and Application 7:2, pages 194-217.
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Mustafa Sonmez, Ali Payıdar Akgüngör & Salih Bektaş. (2017) Estimating transportation energy demand in Turkey using the artificial bee colony algorithm. Energy 122, pages 301-310.
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Hesam Nazari & Aliyeh Kazemi. (2016) Application of PSO algorithm to choose the best scenario for energy demand forecast of residential and commercial sectors in Iran. International Journal of Energy Sector Management 10:4, pages 576-593.
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S. Hr. Aghay Kaboli, J. Selvaraj & N.A. Rahim. (2016) Long-term electric energy consumption forecasting via artificial cooperative search algorithm. Energy 115, pages 857-871.
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Ergun Uzlu, Murat Kankal, Adem Akpınar & Tayfun Dede. (2014) Estimates of energy consumption in Turkey using neural networks with the teaching–learning-based optimization algorithm. Energy 75, pages 295-303.
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A. Azadeh, M. Taghipour, S.M. Asadzadeh & M. Abdollahi. (2014) Artificial immune simulation for improved forecasting of electricity consumption with random variations. International Journal of Electrical Power & Energy Systems 55, pages 205-224.
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M.A. Behrang, E. Assareh, M. Ghalambaz, M.R. Assari & A.R. Noghrehabadi. (2011) Forecasting future oil demand in Iran using GSA (Gravitational Search Algorithm). Energy 36:9, pages 5649-5654.
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