메뉴 건너뛰기




Volumn 36, Issue , 2012, Pages 93-103

Swarm intelligence approaches to estimate electricity energy demand in Turkey

Author keywords

Ant colony optimization; Artificial bee colony; Electricity energy estimation; Particle swarm optimization; Swarm intelligence

Indexed keywords

ANT COLONY OPTIMIZATION (ACO); ARTIFICIAL BEE COLONIES; ENERGY DEMANDS; ENERGY ESTIMATION; GROSS DOMESTIC PRODUCTS; NEIGHBOR SELECTION; PARTICLE SWARM OPTIMIZATION TECHNIQUE; QUADRATIC FORM; RELATIVE ESTIMATION; SOCIO-ECONOMICS; SWARM INTELLIGENCE;

EID: 84867888973     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2012.06.009     Document Type: Article
Times cited : (92)

References (65)
  • 1
    • 34250208764 scopus 로고    scopus 로고
    • Grey prediction with rolling mechanism for electricity demand forecasting of Turkey
    • D. Akay, and M. Atak Grey prediction with rolling mechanism for electricity demand forecasting of Turkey Energy 32 9 2007 1670 1675
    • (2007) Energy , vol.32 , Issue.9 , pp. 1670-1675
    • Akay, D.1    Atak, M.2
  • 2
    • 1842453650 scopus 로고    scopus 로고
    • Forecasting residential natural gas demand
    • H. Aras, and N. Aras Forecasting residential natural gas demand Energy Sources 26 5 2004 463 472
    • (2004) Energy Sources , vol.26 , Issue.5 , pp. 463-472
    • Aras, H.1    Aras, N.2
  • 4
  • 5
    • 8344249357 scopus 로고    scopus 로고
    • Energy demand estimation based on two-different genetic algorithm approaches
    • O.E. Canyurt, H. Ceylan, H.K. Öztürk, and A. Hepbaşli Energy demand estimation based on two-different genetic algorithm approaches Energy Sources 26 14 2004 1313 1320
    • (2004) Energy Sources , vol.26 , Issue.14 , pp. 1313-1320
    • Canyurt, O.E.1    Ceylan, H.2    Öztürk, H.K.3    Hepbaşli, A.4
  • 6
    • 33745922353 scopus 로고    scopus 로고
    • Three different applications of genetic algorithm search techniques on oil demand estimation
    • O.E. Canyurt, and H.K. Öztürk Three different applications of genetic algorithm search techniques on oil demand estimation Energy Conversion and Management 47 18-19 2006 3138 3148
    • (2006) Energy Conversion and Management , vol.47 , Issue.1819 , pp. 3138-3148
    • Canyurt, O.E.1    Öztürk, H.K.2
  • 7
    • 44649149565 scopus 로고    scopus 로고
    • Application of GA technique on demand estimation of fossil fuels in Turkey
    • O.E. Canyurt, and H.K. Öztürk Application of GA technique on demand estimation of fossil fuels in Turkey Energy Policy 36 7 2008 2562 2569
    • (2008) Energy Policy , vol.36 , Issue.7 , pp. 2562-2569
    • Canyurt, O.E.1    Öztürk, H.K.2
  • 8
    • 2442640511 scopus 로고    scopus 로고
    • Estimating energy demand of Turkey based on economic indicators using genetic algorithm approach
    • H. Ceylan, and H.K. Öztürk Estimating energy demand of Turkey based on economic indicators using genetic algorithm approach Energy Conversion and Management 45 15-16 2004 2525 2537
    • (2004) Energy Conversion and Management , vol.45 , Issue.1516 , pp. 2525-2537
    • Ceylan, H.1    Öztürk, H.K.2
  • 9
    • 18444388620 scopus 로고    scopus 로고
    • Estimating energy and exergy production and consumption values using three different genetic algorithm approaches. Part 2: Application and scenarios
    • H. Ceylan, H.K. Öztürk, A. Hepbaşli, and Z. Utlu Estimating energy and exergy production and consumption values using three different genetic algorithm approaches. Part 2: application and scenarios Energy Sources 27 7 2005 629 639
    • (2005) Energy Sources , vol.27 , Issue.7 , pp. 629-639
    • Ceylan, H.1    Öztürk, H.K.2    Hepbaşli, A.3    Utlu, Z.4
  • 10
    • 44649126699 scopus 로고    scopus 로고
    • Transport energy modeling with meta-heuristic harmony search algorithm: An application to Turkey
    • H. Ceylan, H. Ceylan, S. Haldenbilen, and Ö. Başkan Transport energy modeling with meta-heuristic harmony search algorithm: an application to Turkey Energy Policy 36 7 2008 2527 2535
    • (2008) Energy Policy , vol.36 , Issue.7 , pp. 2527-2535
    • Ceylan, H.1    Ceylan, H.2    Haldenbilen, S.3    Başkan, Ö.4
  • 11
    • 0031251716 scopus 로고    scopus 로고
    • An investigation of co-integration and causality between energy consumption and economic activity in Taiwan province of China
    • S.B. Cheng, and T.W. Lai An investigation of co-integration and causality between energy consumption and economic activity in Taiwan province of China Energy Economics 19 4 1997 435 444
    • (1997) Energy Economics , vol.19 , Issue.4 , pp. 435-444
    • Cheng, S.B.1    Lai, T.W.2
  • 12
    • 77549087565 scopus 로고    scopus 로고
    • Scenario analysis using Bayesian networks: A case study in energy sector
    • D. Cinar, and G. Kayakutlu Scenario analysis using Bayesian networks: a case study in energy sector Knowledge-Based Systems 23 3 2010 267 276
    • (2010) Knowledge-Based Systems , vol.23 , Issue.3 , pp. 267-276
    • Cinar, D.1    Kayakutlu, G.2
  • 14
    • 0033729054 scopus 로고    scopus 로고
    • An efficient constraint handling method for genetic algorithms
    • K. Deb An efficient constraint handling method for genetic algorithms Computer Methods in Applied Mechanics and Engineering 186 2-4 2000 311 338
    • (2000) Computer Methods in Applied Mechanics and Engineering , vol.186 , Issue.24 , pp. 311-338
    • Deb, K.1
  • 15
    • 79953039737 scopus 로고    scopus 로고
    • Industrial electricity demand for Turkey: A structural time series analysis
    • Z. Dilaver, and L.C. Hunt Industrial electricity demand for Turkey: a structural time series analysis Energy Economics 33 3 2011 426 436
    • (2011) Energy Economics , vol.33 , Issue.3 , pp. 426-436
    • Dilaver, Z.1    Hunt, L.C.2
  • 16
    • 79955906469 scopus 로고    scopus 로고
    • Modeling and forecasting Turkish residential electricity demand
    • Z. Dilaver, and L.C. Hunt Modeling and forecasting Turkish residential electricity demand Energy Policy 39 6 2011 3117 3127
    • (2011) Energy Policy , vol.39 , Issue.6 , pp. 3117-3127
    • Dilaver, Z.1    Hunt, L.C.2
  • 17
    • 80655127672 scopus 로고    scopus 로고
    • Turkish aggregate electricity demand: An outlook to 2020
    • Z. Dilaver, and L.C. Hunt Turkish aggregate electricity demand: an outlook to 2020 Energy 36 11 2011 6686 6696
    • (2011) Energy , vol.36 , Issue.11 , pp. 6686-6696
    • Dilaver, Z.1    Hunt, L.C.2
  • 18
    • 0036488915 scopus 로고    scopus 로고
    • Forecasting the primary energy demand in Turkey and analysis of cyclic patterns
    • V.S. Ediger, and H. Tatlidil Forecasting the primary energy demand in Turkey and analysis of cyclic patterns Energy Conversion and Management 43 4 2002 473 487
    • (2002) Energy Conversion and Management , vol.43 , Issue.4 , pp. 473-487
    • Ediger, V.S.1    Tatlidil, H.2
  • 19
    • 33845254780 scopus 로고    scopus 로고
    • ARIMA forecasting of primary energy demand by fuel in Turkey
    • V.S. Ediger, and S. Akar ARIMA forecasting of primary energy demand by fuel in Turkey Energy Policy 35 3 2007 1701 1708
    • (2007) Energy Policy , vol.35 , Issue.3 , pp. 1701-1708
    • Ediger, V.S.1    Akar, S.2
  • 20
    • 0041731844 scopus 로고
    • Energy forecasting models, simulations and price sensitivity: New formulation
    • M.A.T. Elkhafif Energy forecasting models, simulations and price sensitivity: new formulation International Journal of Forecasting 9 2 1993 203 210
    • (1993) International Journal of Forecasting , vol.9 , Issue.2 , pp. 203-210
    • Elkhafif, M.A.T.1
  • 21
    • 64749089920 scopus 로고    scopus 로고
    • Disaggregate energy consumption and economic growth: Evidence from Turkey
    • E. Erbaykal Disaggregate energy consumption and economic growth: evidence from Turkey International Research Journal of Finance and Economics 20 20 2008 172 179
    • (2008) International Research Journal of Finance and Economics , vol.20 , Issue.20 , pp. 172-179
    • Erbaykal, E.1
  • 22
    • 51349128976 scopus 로고    scopus 로고
    • The causality between energy consumption and economic growth in Turkey
    • G. Erdal, H. Erdal, and K. Esengün The causality between energy consumption and economic growth in Turkey Energy Policy 36 10 2008 3838 3842
    • (2008) Energy Policy , vol.36 , Issue.10 , pp. 3838-3842
    • Erdal, G.1    Erdal, H.2    Esengün, K.3
  • 23
    • 33845416969 scopus 로고    scopus 로고
    • Electricity demand analysis using co-integration and ARIMA modeling: A case study of Turkey
    • E. Erdogdu Electricity demand analysis using co-integration and ARIMA modeling: a case study of Turkey Energy Policy 35 2 2007 1129 1146
    • (2007) Energy Policy , vol.35 , Issue.2 , pp. 1129-1146
    • Erdogdu, E.1
  • 24
    • 34548425432 scopus 로고
    • On the relationship between energy and income for industrialized countries
    • U. Erol, and E.S.H. Yu On the relationship between energy and income for industrialized countries Journal of Energy and Employment 13 1 1987 113 122
    • (1987) Journal of Energy and Employment , vol.13 , Issue.1 , pp. 113-122
    • Erol, U.1    Yu, E.S.H.2
  • 25
    • 0024160734 scopus 로고
    • Population, economic growth and energy demand 1985-2020
    • B. Gilland Population, economic growth and energy demand 1985-2020 Population and Development Review 14 2 1988 233 244
    • (1988) Population and Development Review , vol.14 , Issue.2 , pp. 233-244
    • Gilland, B.1
  • 26
    • 1242265177 scopus 로고    scopus 로고
    • Evaluation of forecasting of gas consumption by statistical analysis
    • F.B. Görücü, and F. Gümrah Evaluation of forecasting of gas consumption by statistical analysis Energy 26 3 2004 267 276
    • (2004) Energy , vol.26 , Issue.3 , pp. 267-276
    • Görücü, F.B.1    Gümrah, F.2
  • 27
    • 1242265174 scopus 로고    scopus 로고
    • Artificial neural networkmodeling for forecasting gas consumption
    • F.B. Görücü, P.U. Geriş, and F. Gümrah Artificial neural networkmodeling for forecasting gas consumption Energy Sources 26 3 2004 299 307
    • (2004) Energy Sources , vol.26 , Issue.3 , pp. 299-307
    • Görücü, F.B.1    Geriş, P.U.2    Gümrah, F.3
  • 28
    • 3543079934 scopus 로고    scopus 로고
    • Genetic algorithm approach to estimate transport energy demand in Turkey
    • S. Haldenbilen, and H. Ceylan Genetic algorithm approach to estimate transport energy demand in Turkey Energy Policy 33 1 2005 89 98
    • (2005) Energy Policy , vol.33 , Issue.1 , pp. 89-98
    • Haldenbilen, S.1    Ceylan, H.2
  • 29
    • 33845252907 scopus 로고    scopus 로고
    • Forecasting of Turkey's net electricity energy consumption on sectorial bases
    • C. Hamzaçebi Forecasting of Turkey's net electricity energy consumption on sectorial bases Energy Policy 35 3 2007 2009 2016
    • (2007) Energy Policy , vol.35 , Issue.3 , pp. 2009-2016
    • Hamzaçebi, C.1
  • 30
    • 78751613501 scopus 로고    scopus 로고
    • Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm
    • T.J. Hsieh, H.F. Hsiao, and W.C. Yeh Forecasting stock markets using wavelet transforms and recurrent neural networks: an integrated system based on artificial bee colony algorithm Applied Soft Computing 11 2 2011 2510 2525
    • (2011) Applied Soft Computing , vol.11 , Issue.2 , pp. 2510-2525
    • Hsieh, T.J.1    Hsiao, H.F.2    Yeh, W.C.3
  • 31
    • 79957449370 scopus 로고    scopus 로고
    • Application of artificial bee colony-based neural network in bottom hole pressure prediction in underbalanced drilling
    • R. Irani, and R. Nasimi Application of artificial bee colony-based neural network in bottom hole pressure prediction in underbalanced drilling Journal of Petroleum Science and Engineering 78 1 2011 6 12
    • (2011) Journal of Petroleum Science and Engineering , vol.78 , Issue.1 , pp. 6-12
    • Irani, R.1    Nasimi, R.2
  • 32
    • 79551528411 scopus 로고    scopus 로고
    • Modeling and forecasting of Turkey's energy consumption using socio-economic and demographic variables
    • M. Kankal, A. Akpinar, M.I. Kömürcü, and T.Ş. Özşahin Modeling and forecasting of Turkey's energy consumption using socio-economic and demographic variables Applied Energy 88 5 2011 1927 1939
    • (2011) Applied Energy , vol.88 , Issue.5 , pp. 1927-1939
    • Kankal, M.1    Akpinar, A.2    Kömürcü, M.I.3    Özşahin, T.Ş.4
  • 33
    • 35148827874 scopus 로고    scopus 로고
    • An Idea Based on Honeybee Swarm for Numerical Optimization
    • Erciyes University, Engineering Faculty, Computer Engineering Department
    • D. Karaboga, An Idea Based on Honeybee Swarm for Numerical Optimization, Technical Report TR06, Erciyes University, Engineering Faculty, Computer Engineering Department, 2005.
    • (2005) Technical Report TR06
    • Karaboga, D.1
  • 34
    • 64149103429 scopus 로고    scopus 로고
    • A new design method based on artificial bee colony algorithm for digital IIR filters
    • N. Karaboga A new design method based on artificial bee colony algorithm for digital IIR filters Journal of the Franklin Institute 346 4 2008 328 348
    • (2008) Journal of the Franklin Institute , vol.346 , Issue.4 , pp. 328-348
    • Karaboga, N.1
  • 35
    • 67651121862 scopus 로고    scopus 로고
    • Neural networks training by artificial bee colony algorithm on pattern classification
    • D. Karaboga, and C. Öztürk Neural networks training by artificial bee colony algorithm on pattern classification Neural Network World 19 3 2009 279 292
    • (2009) Neural Network World , vol.19 , Issue.3 , pp. 279-292
    • Karaboga, D.1    Öztürk, C.2
  • 36
    • 79951858405 scopus 로고    scopus 로고
    • A modified artificial bee colony (ABC) algorithm for constrained optimization problems
    • D. Karaboga, and B. Akay A modified artificial bee colony (ABC) algorithm for constrained optimization problems Applied Soft Computing 11 3 2011 3021 3031
    • (2011) Applied Soft Computing , vol.11 , Issue.3 , pp. 3021-3031
    • Karaboga, D.1    Akay, B.2
  • 37
    • 68849117417 scopus 로고    scopus 로고
    • Modeling and prediction of Turkey's electricity consumption using artificial neural networks
    • K. Kavaklioglu, H. Ceylan, H.K. Öztürk, and O.E. Canyurt Modeling and prediction of Turkey's electricity consumption using artificial neural networks Energy Conversion and Management 50 11 2009 2719 2727
    • (2009) Energy Conversion and Management , vol.50 , Issue.11 , pp. 2719-2727
    • Kavaklioglu, K.1    Ceylan, H.2    Öztürk, H.K.3    Canyurt, O.E.4
  • 41
    • 80053171957 scopus 로고    scopus 로고
    • A novel hybrid approach based on particle swarm optimization and ant colony algorithm to forecast energy demand of Turkey
    • M.S. Kiran, E. Özceylan, M. Gündüz, and T. Paksoy A novel hybrid approach based on particle swarm optimization and ant colony algorithm to forecast energy demand of Turkey Energy Conversion and Management 53 1 2012 75 83
    • (2012) Energy Conversion and Management , vol.53 , Issue.1 , pp. 75-83
    • Kiran, M.S.1    Özceylan, E.2    Gündüz, M.3    Paksoy, T.4
  • 42
    • 77954031823 scopus 로고    scopus 로고
    • Integration of particle swarm optimization-based fuzzy neural network and artificial neural network for supplier selection
    • R.J. Kuo, S.Y. Hong, and Y.C. Huang Integration of particle swarm optimization-based fuzzy neural network and artificial neural network for supplier selection Applied Mathematical Modeling 34 12 2010 3976 3990
    • (2010) Applied Mathematical Modeling , vol.34 , Issue.12 , pp. 3976-3990
    • Kuo, R.J.1    Hong, S.Y.2    Huang, Y.C.3
  • 43
    • 77949268921 scopus 로고    scopus 로고
    • Turkey's short-term gross annual electricity demand forecast by fuzzy logic approach
    • S. Küçükali, and K. Bariş Turkey's short-term gross annual electricity demand forecast by fuzzy logic approach Energy Policy 38 5 2010 2438 2445
    • (2010) Energy Policy , vol.38 , Issue.5 , pp. 2438-2445
    • Küçükali, S.1    Bariş, K.2
  • 44
    • 34047248916 scopus 로고    scopus 로고
    • Chaotic dynamic characteristics in swarm intelligence
    • H. Liu, A. Abraham, and M. Clerc Chaotic dynamic characteristics in swarm intelligence Applied Soft Computing 7 3 2007 1019 1026
    • (2007) Applied Soft Computing , vol.7 , Issue.3 , pp. 1019-1026
    • Liu, H.1    Abraham, A.2    Clerc, M.3
  • 45
    • 84857845986 scopus 로고    scopus 로고
    • Artificial bee colony algorithm for the design of multiplier-less nonuniform filter bank transmultiplexer
    • V.J. Manoj, and E. Elias Artificial bee colony algorithm for the design of multiplier-less nonuniform filter bank transmultiplexer Information Sciences 192 1 2012 193 203
    • (2012) Information Sciences , vol.192 , Issue.1 , pp. 193-203
    • Manoj, V.J.1    Elias, E.2
  • 47
    • 33746976184 scopus 로고    scopus 로고
    • Use of artificial neural networks for transport energy demand modeling
    • Y.S. Murat, and H. Ceylan Use of artificial neural networks for transport energy demand modeling Energy Policy 34 17 2006 3165 3172
    • (2006) Energy Policy , vol.34 , Issue.17 , pp. 3165-3172
    • Murat, Y.S.1    Ceylan, H.2
  • 49
    • 33747164233 scopus 로고    scopus 로고
    • Estimating petroleum exergy production and consumption using a simulated annealing approach
    • Y. Özçelik, and A. Hepbaşli Estimating petroleum exergy production and consumption using a simulated annealing approach Energy Source Part B: Economics, Planning and Policy 1 3 2006 255 265
    • (2006) Energy Source Part B: Economics, Planning and Policy , vol.1 , Issue.3 , pp. 255-265
    • Özçelik, Y.1    Hepbaşli, A.2
  • 50
    • 1242263787 scopus 로고    scopus 로고
    • Estimating petroleum exergy production and consumption using vehicle ownership and GDP based on genetic algorithm approach
    • H.K. Öztürk, H. Ceylan, A. Hepbaşli, and Z. Utlu Estimating petroleum exergy production and consumption using vehicle ownership and GDP based on genetic algorithm approach Renewable and Sustainable Energy Reviews 8 3 2004 289 302
    • (2004) Renewable and Sustainable Energy Reviews , vol.8 , Issue.3 , pp. 289-302
    • Öztürk, H.K.1    Ceylan, H.2    Hepbaşli, A.3    Utlu, Z.4
  • 51
    • 0346339809 scopus 로고    scopus 로고
    • Residential-commercial energy input estimation based on genetic algorithm approaches: An application of Turkey
    • H.K. Öztürk, O.E. Canyurt, A. Hepbaşli, and Z. Utlu Residential-commercial energy input estimation based on genetic algorithm approaches: an application of Turkey Energy and Building 36 2 2004 175 183
    • (2004) Energy and Building , vol.36 , Issue.2 , pp. 175-183
    • Öztürk, H.K.1    Canyurt, O.E.2    Hepbaşli, A.3    Utlu, Z.4
  • 52
    • 7544234827 scopus 로고    scopus 로고
    • Electricityestimation using genetic algorithm approach: A case study of Turkey
    • H.K. Öztürk, H. Ceylan, O.E. Canyurt, and A. Hepbaşli Electricityestimation using genetic algorithm approach: a case study of Turkey Energy 30 7 2005 1003 1012
    • (2005) Energy , vol.30 , Issue.7 , pp. 1003-1012
    • Öztürk, H.K.1    Ceylan, H.2    Canyurt, O.E.3    Hepbaşli, A.4
  • 53
    • 79953031480 scopus 로고    scopus 로고
    • A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem
    • Q.K. Pan, M.F. Taşgetiren, P.N. Suganthan, and T.J. Chua A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem Information Sciences 181 12 2011 2455 2468
    • (2011) Information Sciences , vol.181 , Issue.12 , pp. 2455-2468
    • Pan, Q.K.1    Taşgetiren, M.F.2    Suganthan, P.N.3    Chua, T.J.4
  • 54
    • 0037410815 scopus 로고    scopus 로고
    • The degree-day method to estimate the residential heating natural gas consumption in Turkey: A case study
    • H. Sarak, and A. Satman The degree-day method to estimate the residential heating natural gas consumption in Turkey: a case study Energy 28 9 2003 929 939
    • (2003) Energy , vol.28 , Issue.9 , pp. 929-939
    • Sarak, H.1    Satman, A.2
  • 58
    • 70449399289 scopus 로고    scopus 로고
    • Future projection of the energy dependency of Turkey using artificial neural network
    • A. Sözen Future projection of the energy dependency of Turkey using artificial neural network Energy Policy 37 11 2009 4827 4833
    • (2009) Energy Policy , vol.37 , Issue.11 , pp. 4827-4833
    • Sözen, A.1
  • 60
    • 79960903887 scopus 로고    scopus 로고
    • An artificial bee colony algorithm for the capacitated vehicle routing problem
    • W.Y. Szeto, Y. Wu, and S.C. Ho An artificial bee colony algorithm for the capacitated vehicle routing problem European Journal of Operational Research 215 1 2011 126 135
    • (2011) European Journal of Operational Research , vol.215 , Issue.1 , pp. 126-135
    • Szeto, W.Y.1    Wu, Y.2    Ho, S.C.3
  • 61
    • 34248530761 scopus 로고    scopus 로고
    • Ant colony optimization approach to estimate energy demand of Turkey
    • M.D. Toksari Ant colony optimization approach to estimate energy demand of Turkey Energy Policy 35 8 2007 3984 3990
    • (2007) Energy Policy , vol.35 , Issue.8 , pp. 3984-3990
    • Toksari, M.D.1
  • 62
    • 59249090677 scopus 로고    scopus 로고
    • Estimating the net electricity energy generation and demand using the ant colony optimization approach: Case of Turkey
    • M.D. Toksari Estimating the net electricity energy generation and demand using the ant colony optimization approach: case of Turkey Energy Policy 37 3 2009 1181 1187
    • (2009) Energy Policy , vol.37 , Issue.3 , pp. 1181-1187
    • Toksari, M.D.1
  • 63
    • 43149117467 scopus 로고    scopus 로고
    • Improvement of energy demand forecasts using swarm intelligence: The case of Turkey with projections to 2025
    • A. Ünler Improvement of energy demand forecasts using swarm intelligence: the case of Turkey with projections to 2025 Energy Policy 36 6 2008 1937 1944
    • (2008) Energy Policy , vol.36 , Issue.6 , pp. 1937-1944
    • Ünler, A.1
  • 64
    • 77950189133 scopus 로고    scopus 로고
    • An artificial bee colony approach for clustering
    • C. Zhang, D. Ouyang, and J. Ning An artificial bee colony approach for clustering Expert Systems with Applications 37 7 2010 4761 4767
    • (2010) Expert Systems with Applications , vol.37 , Issue.7 , pp. 4761-4767
    • Zhang, C.1    Ouyang, D.2    Ning, J.3
  • 65
    • 4544253498 scopus 로고    scopus 로고
    • Electric energy demand of Turkey for the year 2050
    • Z. Yumurtaci, and E. Asmaz Electric energy demand of Turkey for the year 2050 Energy Sources 26 12 2004 1157 1164
    • (2004) Energy Sources , vol.26 , Issue.12 , pp. 1157-1164
    • Yumurtaci, Z.1    Asmaz, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.