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Energy Systems

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01.09.2013 | Original Paper

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

verfasst von: Feyza Gürbüz, Celal Öztürk, Panos Pardalos

Erschienen in: Energy Systems | Ausgabe 3/2013

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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.

Vorheriger Artikel Network constraints in techno-economic energy system models: towards more accurate modeling of power flows in long-term energy system models

Nächster Artikel Multi-factor models and the risk premiums: a simulation study

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Titel: Prediction of electricity energy consumption of Turkey via artificial bee colony: a case study
verfasst von: Feyza Gürbüz
Celal Öztürk
Panos Pardalos
Publikationsdatum: 01.09.2013
Verlag: Springer Berlin Heidelberg
Erschienen in: Energy Systems / Ausgabe 3/2013
Print ISSN: 1868-3967
Elektronische ISSN: 1868-3975
DOI: https://doi.org/10.1007/s12667-013-0079-z

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