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

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...

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Bibliographic Details
Published in:Energy systems (Berlin. Periodical) 2013-09, Vol.4 (3), p.289-300
Main Authors: Gürbüz, Feyza, Öztürk, Celal, Pardalos, Panos
Format: Article
Language:English
Subjects:
Algorithms
Case studies
Developing countries
Economic indicators
Economics and Management
Electricity
Electricity distribution
Energy
Energy consumption
Energy modeling
Energy Policy
Energy Systems
Exports
Foraging behavior
Forecasting
GDP
GNP
Gross Domestic Product
Gross National Product
Heuristic
LDCs
Natural resources
Neural networks
Operations Research/Decision Theory
Optimization
Optimization techniques
Original Paper
Population
Predictions
Studies
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Summary: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.
ISSN:1868-3967
1868-3975
DOI:10.1007/s12667-013-0079-z