Ant colony optimization approach to estimate energy demand of Turkey
This paper attempts to shed light on the determinants of energy demand in Turkey. Energy demand model is first proposed using the ant colony optimization (ACO) approach. It is multi-agent systems in which the behavior of each ant is inspired by the foraging behavior of real ants to solve optimizatio...
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| Veröffentlicht in: | Energy policy 2007-08, Vol.35 (8), p.3984-3990 |
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| container_title | Energy policy |
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| creator | DURAN TOKSAN, M |
| description | This paper attempts to shed light on the determinants of energy demand in Turkey. Energy demand model is first proposed using the ant colony optimization (ACO) approach. It is multi-agent systems in which the behavior of each ant is inspired by the foraging behavior of real ants to solve optimization problem. ACO energy demand estimation (ACOEDE) model is developed using population, gross domestic product (GDP), import and export. All equations proposed here are linear and quadratic. Quadratic_ACOEDE provided better-fit solution due to fluctuations of the economic indicators. The ACOEDE model plans the energy demand of Turkey until 2025 according to three scenarios. The relative estimation errors of the ACOEDE model are the lowest when they are compared with the Ministry of Energy and Natural Resources (MENR) projection. |
| doi_str_mv | 10.1016/j.enpol.2007.01.028 |
| format | Article |
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Energy demand model is first proposed using the ant colony optimization (ACO) approach. It is multi-agent systems in which the behavior of each ant is inspired by the foraging behavior of real ants to solve optimization problem. ACO energy demand estimation (ACOEDE) model is developed using population, gross domestic product (GDP), import and export. All equations proposed here are linear and quadratic. Quadratic_ACOEDE provided better-fit solution due to fluctuations of the economic indicators. The ACOEDE model plans the energy demand of Turkey until 2025 according to three scenarios. The relative estimation errors of the ACOEDE model are the lowest when they are compared with the Ministry of Energy and Natural Resources (MENR) projection.</description><subject>Ant colony optimization</subject><subject>Applied sciences</subject><subject>Demand</subject><subject>Economic data</subject><subject>Economic indicators</subject><subject>Economic models</subject><subject>Energy</subject><subject>Energy demand</subject><subject>Energy economics</subject><subject>Energy resources</subject><subject>Estimation</subject><subject>Exact sciences and technology</subject><subject>General, economic and professional studies</subject><subject>Measurement</subject><subject>Methodology. 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| ispartof | Energy policy, 2007-08, Vol.35 (8), p.3984-3990 |
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| language | eng |
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| source | RePEc; PAIS Index; Elsevier ScienceDirect Journals |
| subjects | Ant colony optimization Applied sciences Demand Economic data Economic indicators Economic models Energy Energy demand Energy economics Energy resources Estimation Exact sciences and technology General, economic and professional studies Measurement Methodology. Modelling Optimization Optimization techniques Power demand Studies Turkey |
| title | Ant colony optimization approach to estimate energy demand of Turkey |
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