In this study, the estimation of Turkey primary electric energy demand
until 2035 is tried to estimate by using Teaching-Learning Based Optimization
(TLBO) Algorithm. Two models are proposed which are based on economic
indicators TLBO algorithm linear energy demand (TLBOEDL) and TLBO algorithm
quadratic energy demand (TLBOEDQ). In both of these two models the indicators
used are Gross Domestic Product (GDP), population, importation and exportation.
After a comparison of these two models with real values between 1979 and 2005
years, it is applied to the estimation of Turkey electric energy demand until
2035 by three different scenario. The estimation results are suitable with the
estimation of Turkey total primary energy supply of 2013 Energy Report of World
Energy Council Turkish National Committee
(WEC-TNC ).
Teaching Learning Based Optimization (TLBO) Algorithm Energy Demand Estimation TLBOEDL Model TLBOEDQ Model Turkey Energy Report 2013
Subjects | Engineering |
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Journal Section | Research Article |
Authors | |
Publication Date | December 26, 2016 |
Published in Issue | Year 2016 Volume: 4 Issue: Special Issue-1 |