Turkey's Electricity Consumption Forecasting Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@Article{Cunkas:2011:Energy_Sources,

• author = "M. Cunkas and U. Taskiran",
• title = "Turkey's Electricity Consumption Forecasting Using Genetic Programming",
• journal = "Energy Sources, Part B: Economics, Planning, and Policy",
• year = "2011",
• volume = "6",
• number = "4",
• pages = "406--416",
• month = jul,
• keywords = "genetic algorithms, genetic programming, electricity consumption, energy forecasting, Turkey",
• publisher = "Taylor \& Francis",
• ISSN = "1556-7249",
• DOI = "doi:10.1080/15567240903047558",
• size = "11 pages",
• abstract = "Turkey's energy demand has been increasing rapidly as a result of rapid urbanization and industrialization. The energy investment requirement will be US$130 billion by the year 2020. Electricity energy has a vital importance among the energy sector. In this study the current state of the electricity energy production and consumption of Turkey is investigated and the electricity energy consumption is forecasted by using genetic algorithm. The obtained results are compared with conventional regression analyses techniques, and the estimated values of the Ministry of Energy and Natural Resources. The electricity demand in the year 2020 is estimated to be 315.02 billion kWh compared to the 189.52 billion kWh needed in the year 2007.",
• notes = "Technical Education Faculty, Department of Electronics & Computer Education, Selcuk University, Konya, Turkey",

}

Genetic Programming entries for M Cunkas U Taskiran

Citations