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Prediction of electricity energy consumption of Turkey via artificial bee colony: a case study

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Abstract

Due to the worldwide growth of energy consumption, analysis of energy issues and the development of energy policy options has become an important issue. In this study, electricity energy consumption of Turkey is predicted by artificial bee colony algorithm (ABC) approaches. ABC, a recently proposed swarm based algorithm, models the intelligent foraging behavior of honey bee swarms. ABC algorithm is used to develop linear and quadratic models as well to train artificial neural network models. The proposed approaches predict Turkey’s net electricity energy consumption until 2022 according to inputs from the year 1979 according to three scenarios. The data used in this study is collected from the Ministry of Energy and Natural Resources (MENR) of Turkey and Turkish Statistical Institute.

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Authors and Affiliations

  1. Department of Industrial Engineering, University of Erciyes, Kayseri, 38039, Turkey

    Feyza Gürbüz

  2. Department of Computer Engineering, University of Erciyes, Kayseri, 38039, Turkey

    Celal Öztürk

  3. Department of Industrial and Systems Engineering Center for Applied Optimization, University of Florida, Gainesville, FL, 32611-6595, USA

    Panos Pardalos

Authors
  1. Feyza Gürbüz
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  2. Celal Öztürk
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  3. Panos Pardalos
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Correspondence to Feyza Gürbüz.

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Gürbüz, F., Öztürk, C. & Pardalos, P. Prediction of electricity energy consumption of Turkey via artificial bee colony: a case study. Energy Syst 4, 289–300 (2013). https://doi.org/10.1007/s12667-013-0079-z

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  • DOI: https://doi.org/10.1007/s12667-013-0079-z

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