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Volumn , Issue , 2011, Pages 164-197

Soft computing and computational intelligent techniques in the evaluation of emerging energy technologies

Author keywords

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Indexed keywords


EID: 84901570670     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-61350-138-2.ch005     Document Type: Chapter
Times cited : (41)

References (141)
  • 1
    • 41449115547 scopus 로고    scopus 로고
    • Univariate modeling and forecasting of monthly energy demand time series using abductive and neural networks
    • doi:10.1016/j.cie.2007.10.020
    • Abdel-Aal, R. E. (2008). Univariate modeling and forecasting of monthly energy demand time series using abductive and neural networks. Computers & Industrial Engineering, 54(4), 903-917. doi:10.1016/j.cie.2007.10.020
    • (2008) Computers & Industrial Engineering , vol.54 , Issue.4 , pp. 903-917
    • Abdel-Aal, R.E.1
  • 2
    • 59549104952 scopus 로고    scopus 로고
    • Applications of computational intelligence techniques for solving the revived optimal power flow problem
    • doi:10.1016/j.epsr.2008.10.004
    • Al-Rashidi, M. R., & El-Hawary, M. E. (2009). Applications of computational intelligence techniques for solving the revived optimal power flow problem. Electric Power Systems Research, 79(4), 694-702. doi:10.1016/j.epsr.2008.10.004
    • (2009) Electric Power Systems Research , vol.79 , Issue.4 , pp. 694-702
    • Al-Rashidi, M.R.1    El-Hawary, M.E.2
  • 3
    • 48749084670 scopus 로고    scopus 로고
    • Implementing soft computing techniques to solve economic dispatch problem in power systems
    • doi:10.1016/j.eswa.2007.08.066
    • Altun, H., & Yalcinoz, T. (2008). Implementing soft computing techniques to solve economic dispatch problem in power systems. Expert Systems with Applications, 35(4), 1668-1678. doi:10.1016/j.eswa.2007.08.066
    • (2008) Expert Systems With Applications , vol.35 , Issue.4 , pp. 1668-1678
    • Altun, H.1    Yalcinoz, T.2
  • 4
    • 52949153989 scopus 로고    scopus 로고
    • Optimization and modeling of a photovoltaic solar integrated system by neural networks
    • doi:10.1016/j. enconman.2007.10.036
    • Ashhab, M. S. S. (2008). Optimization and modeling of a photovoltaic solar integrated system by neural networks. Energy Conversion and Management, 49(11), 3349-3355. doi:10.1016/j. enconman.2007.10.036
    • (2008) Energy Conversion and Management , vol.49 , Issue.11 , pp. 3349-3355
    • Ashhab, M.S.S.1
  • 5
    • 75449083847 scopus 로고    scopus 로고
    • An adaptive network-based fuzzy inference system for short-term natural gas demand estimation: Uncertain and complex environments
    • doi:10.1016/j. enpol.2009.11.036
    • Azadeh, A., Asadzadeh, S. M., & Ghanbari, A. (2010). An adaptive network-based fuzzy inference system for short-term natural gas demand estimation: Uncertain and complex environments. Energy Policy, 38(3), 1529-1536. doi:10.1016/j. enpol.2009.11.036
    • (2010) Energy Policy , vol.38 , Issue.3 , pp. 1529-1536
    • Azadeh, A.1    Asadzadeh, S.M.2    Ghanbari, A.3
  • 6
    • 44449103194 scopus 로고    scopus 로고
    • Annual electricity consumption forecasting by neural network in high energy consuming industrial sectors
    • doi:10.1016/j. enconman.2008.01.035
    • Azadeh, A., Ghaderi, S. F., & Sohrabkhani, S. (2008a). Annual electricity consumption forecasting by neural network in high energy consuming industrial sectors. Energy Conversion and Management, 49(8), 2272-2278. doi:10.1016/j. enconman.2008.01.035
    • (2008) Energy Conversion and Management , vol.49 , Issue.8 , pp. 2272-2278
    • Azadeh, A.1    Ghaderi, S.F.2    Sohrabkhani, S.3
  • 7
    • 44449171970 scopus 로고    scopus 로고
    • Improved estimation of electricity demand function by integration of fuzzy system and data mining approach
    • doi:10.1016/j.enconman.2008.02.021
    • Azadeh, A., Saberi, M., Ghaderi, S. F., Gitiforouz, A., & Ebrahimipour, V. (2008b). Improved estimation of electricity demand function by integration of fuzzy system and data mining approach. Energy Conversion and Management, 49(8), 2165-2177. doi:10.1016/j.enconman.2008.02.021
    • (2008) Energy Conversion and Management , vol.49 , Issue.8 , pp. 2165-2177
    • Azadeh, A.1    Saberi, M.2    Ghaderi, S.F.3    Gitiforouz, A.4    Ebrahimipour, V.5
  • 8
    • 34447504443 scopus 로고    scopus 로고
    • Integration of genetic algorithm, computer simulation and design of experiments for forecasting electrical energy consumption
    • doi:10.1016/j.enpol.2007.04.020
    • Azadeh, A., & Tarverdian, S. (2007). Integration of genetic algorithm, computer simulation and design of experiments for forecasting electrical energy consumption. Energy Policy, 35(10), 5229-5241. doi:10.1016/j.enpol.2007.04.020
    • (2007) Energy Policy , vol.35 , Issue.10 , pp. 5229-5241
    • Azadeh, A.1    Tarverdian, S.2
  • 9
    • 0344980643 scopus 로고    scopus 로고
    • Estimation of the maximum power and normal operating power of a photovoltaic module by neural networks
    • doi:10.1016/ S0960-1481(03)00126-5
    • Bahgat, A. B. G., Helwa, N. H., Ahamd, G. E., & El Shenawy, E. T. (2004). Estimation of the maximum power and normal operating power of a photovoltaic module by neural networks. Renewable Energy, 29(3), 443-457. doi:10.1016/ S0960-1481(03)00126-5
    • (2004) Renewable Energy , vol.29 , Issue.3 , pp. 443-457
    • Bahgat, A.B.G.1    Helwa, N.H.2    Ahamd, G.E.3    El Shenawy, E.T.4
  • 10
    • 0000588240 scopus 로고    scopus 로고
    • Applications of the macbeth approach in the framework of an additive aggregation model
    • doi:10.1002/ (SICI)1099-1360(199703)6:2<107::AIDMCDA147>3.0.CO;2-1
    • Bana e Costa, C. A., & Vansnick, J. C. (1997). Applications of the MACBETH approach in the framework of an additive aggregation model. Journal of Multi-Criteria Decision Analysis, 6(2), 107-114. doi:10.1002/ (SICI)1099-1360(199703)6:2<107::AIDMCDA147>3.0.CO;2-1
    • (1997) Journal of Multi-Criteria Decision Analysis , vol.6 , Issue.2 , pp. 107-114
    • Bana e Costa, C.A.1    Vansnick, J.C.2
  • 11
    • 0038005351 scopus 로고    scopus 로고
    • Decision-making in energy planning: Application of the electre method at regional level for the diffusion of renewable energy technology
    • doi:10.1016/ S0960-1481(03)00102-2
    • Beccali, M., Cellura, M., & Mistretta, M. (2003). Decision-making in energy planning: Application of the Electre method at regional level for the diffusion of renewable energy technology. Renewable Energy, 28(13), 2063-2087. doi:10.1016/ S0960-1481(03)00102-2
    • (2003) Renewable Energy , vol.28 , Issue.13 , pp. 2063-2087
    • Beccali, M.1    Cellura, M.2    Mistretta, M.3
  • 12
    • 77958061970 scopus 로고    scopus 로고
    • Comparison of fuzzy logic and neural network in maximum power point tracker for pv systems
    • doi:10.1016/j. epsr.2010.07.005
    • Ben Salah, C., & Ouali, M. (2011). Comparison of fuzzy logic and neural network in maximum power point tracker for PV systems. Electric Power Systems Research, 81(1), 43-50. doi:10.1016/j. epsr.2010.07.005
    • (2011) Electric Power Systems Research , vol.81 , Issue.1 , pp. 43-50
    • Ben Salah, C.1    Ouali, M.2
  • 13
    • 3142749143 scopus 로고    scopus 로고
    • A fuzzy global efficiency optimization of a photovoltaic water pumping system
    • doi:10.1016/j.solener.2004.03.025
    • Benlarbi, K., Mokrani, L., & Nait-Said, M. S. (2004). A fuzzy global efficiency optimization of a photovoltaic water pumping system. Solar Energy, 77(2), 203-216. doi:10.1016/j.solener.2004.03.025
    • (2004) Solar Energy , vol.77 , Issue.2 , pp. 203-216
    • Benlarbi, K.1    Mokrani, L.2    Nait-Said, M.S.3
  • 14
    • 0001888627 scopus 로고
    • Classement et choix en présence de points de vue multiples (la méthode electre)
    • Bernard, R. (1968). Classement et choix en présence de points de vue multiples (la méthode ELECTRE). la Revue d'Informatique et de Recherche Opérationelle, 8, 57-75.
    • (1968) La Revue D'Informatique Et De Recherche Opérationelle , vol.8 , pp. 57-75
    • Bernard, R.1
  • 15
    • 77953138188 scopus 로고    scopus 로고
    • Ambient temperature modelling with soft computing techniques
    • doi:10.1016/j.solener.2010.04.003
    • Bertini, I., Ceravolo, F., Citterio, M., De Felice, M., Di Pietra, B., & Margiotta, F. (2010). Ambient temperature modelling with soft computing techniques. Solar Energy, 84(7), 1264-1272. doi:10.1016/j.solener.2010.04.003
    • (2010) Solar Energy , vol.84 , Issue.7 , pp. 1264-1272
    • Bertini, I.1    Ceravolo, F.2    Citterio, M.3    de Felice, M.4    Di Pietra, B.5    Margiotta, F.6
  • 16
    • 0000372281 scopus 로고
    • A preference ranking organization method: The promethee method for mcdm
    • doi:10.1287/mnsc.31.6.647
    • Brans, J. P., & Vincke, P. (1985). A preference ranking organization method: The PROMETHEE method for MCDM. Management Science, 31(6), 647-656. doi:10.1287/mnsc.31.6.647
    • (1985) Management Science , vol.31 , Issue.6 , pp. 647-656
    • Brans, J.P.1    Vincke, P.2
  • 17
    • 58149177300 scopus 로고    scopus 로고
    • Multi criteria analysis for bioenergy systems assessments
    • doi:10.1016/j.enpol.2008.09.054
    • Buchholz, T., Rametsteiner, E., Volk, T. A., & Luzadis, V. A. (2009). Multi criteria analysis for bioenergy systems assessments. Energy Policy, 37(2), 484-495. doi:10.1016/j.enpol.2008.09.054
    • (2009) Energy Policy , vol.37 , Issue.2 , pp. 484-495
    • Buchholz, T.1    Rametsteiner, E.2    Volk, T.A.3    Luzadis, V.A.4
  • 18
    • 46549093655 scopus 로고
    • Fuzzy hierarchical analysis
    • doi:10.1016/0165-0114(85)90090-9
    • Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17, 233-247. doi:10.1016/0165-0114(85)90090-9
    • (1985) Fuzzy Sets and Systems , vol.17 , pp. 233-247
    • Buckley, J.J.1
  • 19
    • 35648984662 scopus 로고    scopus 로고
    • Is small beautiful? A multicriteria assessment of small-Scale energy technology applications in local governments
    • doi:10.1016/j. enpol.2007.08.002
    • Burton, J., & Hubacek, K. (2007). Is small beautiful? A multicriteria assessment of small-scale energy technology applications in local governments. Energy Policy, 35(12), 6402-6412. doi:10.1016/j. enpol.2007.08.002
    • (2007) Energy Policy , vol.35 , Issue.12 , pp. 6402-6412
    • Burton, J.1    Hubacek, K.2
  • 20
    • 60949091597 scopus 로고    scopus 로고
    • Multi-criteria decision aid to assess concentrated solar thermal technologies
    • doi:10.1016/j.renene.2008.12.034
    • Cavallaro, F. (2009). Multi-criteria decision aid to assess concentrated solar thermal technologies. Renewable Energy, 34(7), 1678-1685. doi:10.1016/j.renene.2008.12.034
    • (2009) Renewable Energy , vol.34 , Issue.7 , pp. 1678-1685
    • Cavallaro, F.1
  • 21
    • 71649099640 scopus 로고    scopus 로고
    • A comparative assessment of thin-film photovoltaic production processes using the electre iii method
    • doi:10.1016/j.enpol.2009.09.037
    • Cavallaro, F. (2010a). A comparative assessment of thin-film photovoltaic production processes using the electre iii method. Energy Policy, 38(1), 463-474. doi:10.1016/j.enpol.2009.09.037
    • (2010) Energy Policy , vol.38 , Issue.1 , pp. 463-474
    • Cavallaro, F.1
  • 22
    • 75449120349 scopus 로고    scopus 로고
    • Fuzzy topsis approach for assessing thermal-Energy storage in concentrated solar power (csp) systems
    • doi:10.1016/j.apenergy.2009.07.009
    • Cavallaro, F. (2010b). Fuzzy topsis approach for assessing thermal-energy storage in concentrated solar power (CSP) systems. Applied Energy, 87(2), 496-503. doi:10.1016/j.apenergy.2009.07.009
    • (2010) Applied Energy , vol.87 , Issue.2 , pp. 496-503
    • Cavallaro, F.1
  • 23
    • 70449525332 scopus 로고    scopus 로고
    • Developing a group decision support system based on fuzzy information axiom
    • doi:10.1016/j.knosys.2009.07.005
    • Cebi, S., & Kahraman, C. (2010a). Developing a group decision support system based on fuzzy information axiom. Knowledge-Based Systems, 23(1), 3-16. doi:10.1016/j.knosys.2009.07.005
    • (2010) Knowledge-Based Systems , vol.23 , Issue.1 , pp. 3-16
    • Cebi, S.1    Kahraman, C.2
  • 24
    • 18444388620 scopus 로고    scopus 로고
    • Estimating energy and exergy production and consumption values using three different genetic algorithm approaches. Part 2: Application and scenarios
    • doi:10.1080/00908310490448631
    • Ceylan, H., Ozturk, H. K., Hepbasli, A., & Utlu, Z. (2005). Estimating energy and exergy production and consumption values using three different genetic algorithm approaches. Part 2: Application and scenarios. Energy Sources, 27, 629-639. doi:10.1080/00908310490448631
    • (2005) Energy Sources , vol.27 , pp. 629-639
    • Ceylan, H.1    Ozturk, H.K.2    Hepbasli, A.3    Utlu, Z.4
  • 25
    • 0000672127 scopus 로고    scopus 로고
    • Applications of the extent analysis method on fuzzy-ahp
    • doi:10.1016/0377-2217(95)00300-2
    • Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy-AHP. European Journal of Operational Research, 95, 649-655. doi:10.1016/0377-2217(95)00300-2
    • (1996) European Journal of Operational Research , vol.95 , pp. 649-655
    • Chang, D.Y.1
  • 26
    • 58749104556 scopus 로고    scopus 로고
    • Optimal design of discretevalue tilt angle of pv using sequential neural-network approximation and orthogonal array
    • doi:10.1016/j.eswa.2008.06.105
    • Chang, Y.-P. (2009). Optimal design of discretevalue tilt angle of PV using sequential neural-network approximation and orthogonal array. Expert Systems with Applications, 36(3), 6010-6018. doi:10.1016/j.eswa.2008.06.105
    • (2009) Expert Systems With Applications , vol.36 , Issue.3 , pp. 6010-6018
    • Chang, Y.-P.1
  • 27
    • 84901514981 scopus 로고    scopus 로고
    • A novel multi-model neuro-fuzzy-based mppt for three-phase grid-connected photovoltaic system
    • (in press), [forthcoming]
    • Chaouachi, A., Kamel, R. M., & Nagasaka, K. (in press). A novel multi-model neuro-fuzzy-based mppt for three-phase grid-connected photovoltaic system. [forthcoming]. Solar Energy.
    • Solar Energy
    • Chaouachi, A.1    Kamel, R.M.2    Nagasaka, K.3
  • 28
    • 0002296389 scopus 로고    scopus 로고
    • Extensions of the topsis for group decision-making under fuzzy environment
    • doi:10.1016/ S0165-0114(97)00377-1
    • Chen, T.-C. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114, 1-9. doi:10.1016/ S0165-0114(97)00377-1
    • (2000) Fuzzy Sets and Systems , vol.114 , pp. 1-9
    • Chen, T.-C.1
  • 29
    • 66349086439 scopus 로고    scopus 로고
    • Renewable energy technology portfolio planning with scenario analysis: A case study for taiwan
    • doi:10.1016/j.enpol.2009.03.028
    • Chen, T. Y., Yu, O. S., Hsu, G. J. Y., Hsu, F. M., & Sung, W. N. (2009). Renewable energy technology portfolio planning with scenario analysis: A case study for Taiwan. Energy Policy, 37(8), 2900-2906. doi:10.1016/j.enpol.2009.03.028
    • (2009) Energy Policy , vol.37 , Issue.8 , pp. 2900-2906
    • Chen, T.Y.1    Yu, O.S.2    Hsu, G.J.Y.3    Hsu, F.M.4    Sung, W.N.5
  • 30
    • 77949275746 scopus 로고    scopus 로고
    • Development of future energy scenarios with intelligent algorithms: Case of hydro in turkey
    • doi:10.1016/j.energy.2009.12.025
    • Cinar, D., Kayakutlu, G., & Daim, T. (2010). Development of future energy scenarios with intelligent algorithms: Case of hydro in Turkey. Energy, 35(4), 1724-1729. doi:10.1016/j.energy.2009.12.025
    • (2010) Energy , vol.35 , Issue.4 , pp. 1724-1729
    • Cinar, D.1    Kayakutlu, G.2    Daim, T.3
  • 31
    • 13244270060 scopus 로고    scopus 로고
    • Applying support vector machines to predict building energy consumption in tropical region
    • doi:10.1016/j. enbuild.2004.09.009
    • Dong, B., Cao, C., & Lee, S. E. (2005). Applying support vector machines to predict building energy consumption in tropical region. Energy and Building, 37(5), 545-553. doi:10.1016/j. enbuild.2004.09.009
    • (2005) Energy and Building , vol.37 , Issue.5 , pp. 545-553
    • Dong, B.1    Cao, C.2    Lee, S.E.3
  • 32
    • 0003401932 scopus 로고
    • PhD thesis, Dipartimento di Elettronica, Politecnico di Milano, Italy. (in Italian)
    • Dorigo, M. (1992). Optimization, learning and natural algorithms. PhD thesis, Dipartimento di Elettronica, Politecnico di Milano, Italy. (in Italian)
    • (1992) Optimization, Learning and Natural Algorithms
    • Dorigo, M.1
  • 34
    • 34247497725 scopus 로고    scopus 로고
    • Multi-criteria decision aid for the formulation of sustainable technological energy priorities using linguistic variables
    • doi:10.1016/j.ejor.2006.08.037
    • Doukas, H. C., Andreas, B. M., & Psarras, J. E. (2007). Multi-criteria decision aid for the formulation of sustainable technological energy priorities using linguistic variables. European Journal of Operational Research, 182, 844-855. doi:10.1016/j.ejor.2006.08.037
    • (2007) European Journal of Operational Research , vol.182 , pp. 844-855
    • Doukas, H.C.1    Andreas, B.M.2    Psarras, J.E.3
  • 35
    • 20444471636 scopus 로고    scopus 로고
    • Design and control strategies of pvdiesel systems using genetic algorithms
    • doi:10.1016/j.solener.2004.10.004
    • Dufo-Lopez, R., & Bernal-Agustin, J. L. (2005). Design and control strategies of PVdiesel systems using genetic algorithms. Solar Energy, 79, 33-46. doi:10.1016/j.solener.2004.10.004
    • (2005) Solar Energy , vol.79 , pp. 33-46
    • Dufo-Lopez, R.1    Bernal-Agustin, J.L.2
  • 36
    • 33845522902 scopus 로고    scopus 로고
    • Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage
    • doi:10.1016/j.renene.2006.04.013
    • Dufo-Lopez, R., Bernal-Agustin, J. L., & Contreras, J. (2007). Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage. Renewable Energy, 32(7), 1102-1126. doi:10.1016/j.renene.2006.04.013
    • (2007) Renewable Energy , vol.32 , Issue.7 , pp. 1102-1126
    • Dufo-Lopez, R.1    Bernal-Agustin, J.L.2    Contreras, J.3
  • 37
    • 33845254780 scopus 로고    scopus 로고
    • Arima forecasting of primary energy demand by fuel in turkey
    • doi:10.1016/j. enpol.2006.05.009
    • Ediger, V. S., & Akar, S. (2007). Arima forecasting of primary energy demand by fuel in Turkey. Energy Policy, 35(3), 1701-1708. doi:10.1016/j. enpol.2006.05.009
    • (2007) Energy Policy , vol.35 , Issue.3 , pp. 1701-1708
    • Ediger, V.S.1    Akar, S.2
  • 38
    • 84901567746 scopus 로고    scopus 로고
    • Wavelet-based multi-resolution analysis and artificial neural networks for forecasting temperature and thermal power consumption
    • (in press), [forthcoming]
    • Eynard, J., Grieu, S., & Polit, M. (in press). Wavelet-based multi-resolution analysis and artificial neural networks for forecasting temperature and thermal power consumption. [forthcoming]. Engineering Applications of Artificial Intelligence.
    • Engineering Applications of Artificial Intelligence
    • Eynard, J.1    Grieu, S.2    Polit, M.3
  • 39
    • 33645418480 scopus 로고    scopus 로고
    • Forecasting of electricity prices with neural networks
    • doi:10.1016/j.enconman.2005.10.010
    • Gareta, R., Romeo, L. M., & Gil, A. (2006). Forecasting of electricity prices with neural networks. Energy Conversion and Management, 47(13-14), 1770-1778. doi:10.1016/j.enconman.2005.10.010
    • (2006) Energy Conversion and Management , vol.47 , Issue.13-14 , pp. 1770-1778
    • Gareta, R.1    Romeo, L.M.2    Gil, A.3
  • 41
    • 84901558550 scopus 로고    scopus 로고
    • (Glover, F., & Kochenberger, G. A., Eds.), New York, NY/ Boston, MA/ Dordrecht, The Netherlands/ London, UK/ Moscow, Russia, Kluwer Academic Publishers
    • Gendreau, M. (2003). Handbook of metaheuri{dotless}sti{dotless}cs: An introducti{dotless}on to tabu search (Glover, F., & Kochenberger, G. A., Eds.). New York, NY/ Boston, MA/ Dordrecht, The Netherlands/ London, UK/ Moscow, Russia: Kluwer Academic Publishers.
    • (2003) Handbook of Metaheuri{dotless}sti{dotless}cs: An Introducti{dotless}on to Tabu Search
    • Gendreau, M.1
  • 43
    • 38949168854 scopus 로고    scopus 로고
    • A roadmap for selecting host countries of wind energy projects in the framework of the clean development mechanism
    • doi:10.1016/j.rser.2006.11.001
    • Georgiou, P., Tourkolias, C., & Diakoulaki, D. (2008). A roadmap for selecting host countries of wind energy projects in the framework of the clean development mechanism. Renewable & Sustainable Energy Reviews, 12(3), 712-731. doi:10.1016/j.rser.2006.11.001
    • (2008) Renewable & Sustainable Energy Reviews , vol.12 , Issue.3 , pp. 712-731
    • Georgiou, P.1    Tourkolias, C.2    Diakoulaki, D.3
  • 44
    • 73149097700 scopus 로고    scopus 로고
    • A multicriteria approach to evaluate district heating system options
    • doi:10.1016/j.apenergy.2009.06.021
    • Ghafghazi, S., Sowlati, T., Sokhansanj, S., & Melin, S. (2010). A multicriteria approach to evaluate district heating system options. Applied Energy, 87(4), 1134-1140. doi:10.1016/j.apenergy.2009.06.021
    • (2010) Applied Energy , vol.87 , Issue.4 , pp. 1134-1140
    • Ghafghazi, S.1    Sowlati, T.2    Sokhansanj, S.3    Melin, S.4
  • 45
    • 0022865373 scopus 로고
    • Future paths for integer programming and links to artificial intelligence
    • Glover, F. (1986). Future paths for integer programming and links to artificial intelligence. Computational Opeation. Research, 13, 533-549.
    • (1986) Computational Opeation. Research , vol.13 , pp. 533-549
    • Glover, F.1
  • 46
    • 13844306850 scopus 로고    scopus 로고
    • Prediction of hourly energy consumption in buildings based on a feedback artificial neural network
    • doi:10.1016/j.enbuild.2004.09.006
    • González, P. A., & Zamarreño, J. M. (2005). Prediction of hourly energy consumption in buildings based on a feedback artificial neural network. Energy and Building, 37(6), 595-601. doi:10.1016/j.enbuild.2004.09.006
    • (2005) Energy and Building , vol.37 , Issue.6 , pp. 595-601
    • González, P.A.1    Zamarreño, J.M.2
  • 47
    • 52949151155 scopus 로고    scopus 로고
    • Monthly electric energy demand forecasting with neural networks and fourier series
    • doi:10.1016/j. enconman.2008.06.004
    • González-Romera, E., Jaramillo-Morán, M. A., & Carmona-Fernández, D. (2008). Monthly electric energy demand forecasting with neural networks and Fourier series. Energy Conversion and Management, 49(11), 3135-3142. doi:10.1016/j. enconman.2008.06.004
    • (2008) Energy Conversion and Management , vol.49 , Issue.11 , pp. 3135-3142
    • González-Romera, E.1    Jaramillo-Morán, M.A.2    Carmona-Fernández, D.3
  • 48
    • 3543079934 scopus 로고    scopus 로고
    • Genetic algorithm approach to estimate transport energy demand in turkey
    • doi:10.1016/S0301-4215(03)00202-7
    • Haldenbilen, S., & Ceylan, H. (2005). Genetic algorithm approach to estimate transport energy demand in Turkey. Energy Policy, 33, 89-98. doi:10.1016/S0301-4215(03)00202-7
    • (2005) Energy Policy , vol.33 , pp. 89-98
    • Haldenbilen, S.1    Ceylan, H.2
  • 49
    • 33845252907 scopus 로고    scopus 로고
    • Forecasting of turkey's net electricity energy consumption on sectoral bases
    • doi:10.1016/j. enpol.2006.03.014
    • Hamzaçebi, C. (2007). Forecasting of Turkey's net electricity energy consumption on sectoral bases. Energy Policy, 35(3), 2009-2016. doi:10.1016/j. enpol.2006.03.014
    • (2007) Energy Policy , vol.35 , Issue.3 , pp. 2009-2016
    • Hamzaçebi, C.1
  • 50
    • 77955309158 scopus 로고    scopus 로고
    • Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy ahp
    • doi:10.1016/j.rser.2010.01.020
    • Heo, E., Kim, J., & Boo, K.-J. (2010). Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP. Renewable & Sustainable Energy Reviews, 14(8), 2214-2220. doi:10.1016/j.rser.2010.01.020
    • (2010) Renewable & Sustainable Energy Reviews , vol.14 , Issue.8 , pp. 2214-2220
    • Heo, E.1    Kim, J.2    Boo, K.-J.3
  • 52
    • 0026988817 scopus 로고
    • Genetic algorithms
    • doi:10.1038/ scientificamerican0792-66
    • Holland, J. H. (1992). Genetic algorithms. Scientific American, 267, 66-72. doi:10.1038/ scientificamerican0792-66
    • (1992) Scientific American , vol.267 , pp. 66-72
    • Holland, J.H.1
  • 53
    • 12444251026 scopus 로고    scopus 로고
    • A new approach for sizing stand alone photovoltaic systems based in neural networks
    • doi:10.1016/j.solener.2004.08.018
    • Hontoria, L., Aguilera, J., & Zufiria, P. (2005). A new approach for sizing stand alone photovoltaic systems based in neural networks. Solar Energy, 78(2), 313-319. doi:10.1016/j.solener.2004.08.018
    • (2005) Solar Energy , vol.78 , Issue.2 , pp. 313-319
    • Hontoria, L.1    Aguilera, J.2    Zufiria, P.3
  • 54
    • 3342984611 scopus 로고    scopus 로고
    • Fuzzy mcdm approach for planning and design tenders selection in public office buildings
    • doi:10.1016/j.ijproman.2004.01.002
    • Hsieh, T. Y., Lu, S. T., & Tzeng, G. T. (2004). Fuzzy MCDM approach for planning and design tenders selection in public office buildings. International Journal of Project Management, 22, 573-584. doi:10.1016/j.ijproman.2004.01.002
    • (2004) International Journal of Project Management , vol.22 , pp. 573-584
    • Hsieh, T.Y.1    Lu, S.T.2    Tzeng, G.T.3
  • 55
    • 38749149192 scopus 로고    scopus 로고
    • The risk of surprise in energy technology costs
    • doi:10.1088/1748-9326/2/3/034002
    • Hultman, N. E., & Koomey, J. G. (2007). The risk of surprise in energy technology costs. Environmental Research Letters, 2(3), 1-6. doi:10.1088/1748-9326/2/3/034002
    • (2007) Environmental Research Letters , vol.2 , Issue.3 , pp. 1-6
    • Hultman, N.E.1    Koomey, J.G.2
  • 56
    • 1642359982 scopus 로고    scopus 로고
    • A robust control method for a pv-supplied dc motor using universal learning networks
    • doi:10.1016/j.solener.2003.12.011
    • Hussein, A., Hirasawa, K., & Hu, J. (2004). A robust control method for a pv-supplied dc motor using universal learning networks. Solar Energy, 76(6), 771-780. doi:10.1016/j.solener.2003.12.011
    • (2004) Solar Energy , vol.76 , Issue.6 , pp. 771-780
    • Hussein, A.1    Hirasawa, K.2    Hu, J.3
  • 58
    • 6944221141 scopus 로고    scopus 로고
    • Transforming the energy sector: The evolution of technological systems in renewable energy technology
    • doi:10.1093/icc/dth032
    • Jacobsson, S., & Bergek, A. (2004). Transforming the energy sector: The evolution of technological systems in renewable energy technology. Industrial and Corporate Change, 13(5), 815-849. doi:10.1093/icc/dth032
    • (2004) Industrial and Corporate Change , vol.13 , Issue.5 , pp. 815-849
    • Jacobsson, S.1    Bergek, A.2
  • 59
    • 29244487069 scopus 로고    scopus 로고
    • Sustainable energy development: Performance and prospects
    • doi:10.1016/j. renene.2005.09.002
    • Jefferson, M. (2006). Sustainable energy development: Performance and prospects. Renewable Energy, 31, 571-582. doi:10.1016/j. renene.2005.09.002
    • (2006) Renewable Energy , vol.31 , pp. 571-582
    • Jefferson, M.1
  • 60
    • 58349117450 scopus 로고    scopus 로고
    • A new multiattribute decision making method: Hierarchical fuzzy axiomatic design
    • doi:10.1016/j. eswa.2008.05.041
    • Kahraman, C., & Cebi, S. (2009). A new multiattribute decision making method: Hierarchical fuzzy axiomatic design. Expert Systems with Applications, 36(3), 4848-4861. doi:10.1016/j. eswa.2008.05.041
    • (2009) Expert Systems With Applications , vol.36 , Issue.3 , pp. 4848-4861
    • Kahraman, C.1    Cebi, S.2
  • 61
    • 34248221552 scopus 로고    scopus 로고
    • Fuzzy multi-criteria evaluation of industrial robotic systems
    • doi:10.1016/j. cie.2007.01.005
    • Kahraman, C., Çevik, S., Ates, N. Y., & Gülbay, M. (2007). Fuzzy multi-criteria evaluation of industrial robotic systems. Computers & Industrial Engineering, 52(4), 414-433. doi:10.1016/j. cie.2007.01.005
    • (2007) Computers & Industrial Engineering , vol.52 , Issue.4 , pp. 414-433
    • Kahraman, C.1    Çevik, S.2    Ates, N.Y.3    Gülbay, M.4
  • 62
    • 79953286788 scopus 로고    scopus 로고
    • A fuzzy multicriteria methodology for selection among energy alternatives
    • doi:10.1016/j. eswa.2010.02.095
    • Kahraman, C., & Kaya, I. (2010). A fuzzy multicriteria methodology for selection among energy alternatives. Expert Systems with Applications, 37(9), 6270-6281. doi:10.1016/j. eswa.2010.02.095
    • (2010) Expert Systems With Applications , vol.37 , Issue.9 , pp. 6270-6281
    • Kahraman, C.1    Kaya, I.2
  • 63
    • 69349099688 scopus 로고    scopus 로고
    • A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process
    • doi:10.1016/j. energy.2009.07.008
    • Kahraman, C., Kaya, I., & Cebi, S. (2009). A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process. Energy, 34(10), 1603-1616. doi:10.1016/j. energy.2009.07.008
    • (2009) Energy , vol.34 , Issue.10 , pp. 1603-1616
    • Kahraman, C.1    Kaya, I.2    Cebi, S.3
  • 64
    • 45749091724 scopus 로고    scopus 로고
    • Tracking emerging technologies in energy research: Toward a roadmap for sustainable energy
    • doi:10.1016/j. techfore.2007.05.005
    • Kajikawa, Y., Yoshikawa, J., Takeda, Y., & Matsushima, K. (2008). Tracking emerging technologies in energy research: Toward a roadmap for sustainable energy. Technological Forecasting and Social Change, 75, 771-782. doi:10.1016/j. techfore.2007.05.005
    • (2008) Technological Forecasting and Social Change , vol.75 , pp. 771-782
    • Kajikawa, Y.1    Yoshikawa, J.2    Takeda, Y.3    Matsushima, K.4
  • 65
    • 77649192488 scopus 로고    scopus 로고
    • Eu-mena energy technology transfer under the cdm: Israel as a frontrunner??
    • doi:10.1016/j.enpol.2009.12.039
    • Karakosta, C., Doukas, H., & Psarras, J. (2010). EU-MENA energy technology transfer under the CDM: Israel as a frontrunner? Energy Policy, 38(5), 2455-2462. doi:10.1016/j.enpol.2009.12.039
    • (2010) Energy Policy , vol.38 , Issue.5 , pp. 2455-2462
    • Karakosta, C.1    Doukas, H.2    Psarras, J.3
  • 66
    • 32344446938 scopus 로고    scopus 로고
    • Neural network based solar cell model
    • doi:10.1016/j.enconman.2005.07.007
    • Karatepe, E., Boztepe, M., & Colak, M. (2006). Neural network based solar cell model. Energy Conversion and Management, 47(9-10), 1159- 1178. doi:10.1016/j.enconman.2005.07.007
    • (2006) Energy Conversion and Management , vol.47 , Issue.9-10 , pp. 1159
    • Karatepe, E.1    Boztepe, M.2    Colak, M.3
  • 68
    • 60849138782 scopus 로고    scopus 로고
    • A genetic algorithm approach to determine the sample size for control charts with variables and attributes
    • doi:10.1016/j. eswa.2008.12.011
    • Kaya, I. (2009). A genetic algorithm approach to determine the sample size for control charts with variables and attributes. Expert Systems with Applications, 36(5), 8719-8734. doi:10.1016/j. eswa.2008.12.011
    • (2009) Expert Systems With Applications , vol.36 , Issue.5 , pp. 8719-8734
    • Kaya, I.1
  • 69
    • 77953162158 scopus 로고    scopus 로고
    • Multicriteria renewable energy planning using an integrated fuzzy vikor & ahp methodology: The case of istanbul
    • doi:10.1016/j. energy.2010.02.051
    • Kaya, T., & Kahraman, C. (2010). Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul. Energy, 35(6), 2517-2527. doi:10.1016/j. energy.2010.02.051
    • (2010) Energy , vol.35 , Issue.6 , pp. 2517-2527
    • Kaya, T.1    Kahraman, C.2
  • 70
    • 58949097554 scopus 로고    scopus 로고
    • Novel energy saving technologies evaluation tool
    • doi:10.1016/j.compchemeng.2008.07.005
    • Klemes, J., Bulatov, I., & Koppejan, J. (2009). Novel energy saving technologies evaluation tool. Computers & Chemical Engineering, 33(3), 751- 758. doi:10.1016/j.compchemeng.2008.07.005
    • (2009) Computers & Chemical Engineering , vol.33 , Issue.3 , pp. 751
    • Klemes, J.1    Bulatov, I.2    Koppejan, J.3
  • 72
    • 61849162189 scopus 로고    scopus 로고
    • Sustainable energy futures: Methodological challenges in combining scenarios and participatory multi-criteria analysis
    • doi:10.1016/j.ejor.2007.12.049
    • Kowalski, K., Stagl, S., Madlener, R., & Omann, I. (2009). Sustainable energy futures: Methodological challenges in combining scenarios and participatory multi-criteria analysis. European Journal of Operational Research, 197(3), 1063-1074. doi:10.1016/j.ejor.2007.12.049
    • (2009) European Journal of Operational Research , vol.197 , Issue.3 , pp. 1063-1074
    • Kowalski, K.1    Stagl, S.2    Madlener, R.3    Omann, I.4
  • 73
    • 22144491205 scopus 로고    scopus 로고
    • A decision support system for fuzzy multi-attribute selection of material handling equipments
    • doi:10.1016/j.eswa.2005.04.004
    • Kulak, O. (2005). A decision support system for fuzzy multi-attribute selection of material handling equipments. Expert Systems with Applications, 29(2), 310-319. doi:10.1016/j.eswa.2005.04.004
    • (2005) Expert Systems With Applications , vol.29 , Issue.2 , pp. 310-319
    • Kulak, O.1
  • 74
    • 26444501405 scopus 로고    scopus 로고
    • Fuzzy multi-attribute equipment selection based on information axiom
    • doi:10.1016/j.jmatprotec.2005.03.030
    • Kulak, O., Durmusoglu, M. B., & Kahraman, C. (2005). Fuzzy multi-attribute equipment selection based on information axiom. Journal of Materials Processing Technology, 169, 337-345. doi:10.1016/j.jmatprotec.2005.03.030
    • (2005) Journal of Materials Processing Technology , vol.169 , pp. 337-345
    • Kulak, O.1    Durmusoglu, M.B.2    Kahraman, C.3
  • 75
    • 13244279684 scopus 로고    scopus 로고
    • Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process
    • doi:10.1016/j.ins.2004.02.021
    • Kulak, O., & Kahraman, C. (2005a). Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process. Information Sciences, 170, 191-210. doi:10.1016/j.ins.2004.02.021
    • (2005) Information Sciences , vol.170 , pp. 191-210
    • Kulak, O.1    Kahraman, C.2
  • 76
    • 12244285683 scopus 로고    scopus 로고
    • Multiattribute comparison of advanced manufacturing systems using fuzzy vs. Crisp axiomatic design approach
    • doi:10.1016/j. ijpe.2004.02.009
    • Kulak, O., & Kahraman, C. (2005b). Multiattribute comparison of advanced manufacturing systems using fuzzy vs. crisp axiomatic design approach. International Journal of Production Economics, 95, 415-424. doi:10.1016/j. ijpe.2004.02.009
    • (2005) International Journal of Production Economics , vol.95 , pp. 415-424
    • Kulak, O.1    Kahraman, C.2
  • 77
    • 0020843523 scopus 로고
    • A fuzzy extension of saaty's priority theory
    • Laarhoven, P. J. M., & Pedrycz, W. (1983). A fuzzy extension of Saaty's priority theory. Fuzzy Sets and Systems, 11, 229-241.
    • (1983) Fuzzy Sets and Systems , vol.11 , pp. 229-241
    • Laarhoven, P.J.M.1    Pedrycz, W.2
  • 79
    • 40149085230 scopus 로고    scopus 로고
    • The competitiveness of korea as a developer of hydrogen energy technology: The ahp approach
    • doi:10.1016/j. enpol.2007.12.003
    • Lee, S. K., Mogi, G., & Kim, J. W. (2008). The competitiveness of Korea as a developer of hydrogen energy technology: The AHP approach. Energy Policy, 36(4), 1284-1291. doi:10.1016/j. enpol.2007.12.003
    • (2008) Energy Policy , vol.36 , Issue.4 , pp. 1284-1291
    • Lee, S.K.1    Mogi, G.2    Kim, J.W.3
  • 80
    • 71649091717 scopus 로고    scopus 로고
    • Decision support for prioritizing energy technologies against high oil prices: A fuzzy analytic hierarchy process approach
    • doi:10.1016/j.jlp.2009.07.001
    • Lee, S. K., Mogi, G., & Kim, J. W. (2009). Decision support for prioritizing energy technologies against high oil prices: A fuzzy analytic hierarchy process approach. Journal of Loss Prevention in the Process Industries, 22(6), 915-920. doi:10.1016/j.jlp.2009.07.001
    • (2009) Journal of Loss Prevention In the Process Industries , vol.22 , Issue.6 , pp. 915-920
    • Lee, S.K.1    Mogi, G.2    Kim, J.W.3
  • 81
    • 71649091717 scopus 로고    scopus 로고
    • Decision support for prioritizing energy technologies against high oil prices: A fuzzy analytic hierarchy process approach
    • doi:10.1016/j.jlp.2009.07.001
    • Lee, S. K., Mogi, G., & Kim, J. W. (2009). Decision support for prioritizing energy technologies against high oil prices: A fuzzy analytic hierarchy process approach. Journal of Loss Prevention in the Process Industries, 22(6), 915-920. doi:10.1016/j.jlp.2009.07.001
    • (2009) Journal of Loss Prevention In the Process Industries , vol.22 , Issue.6 , pp. 915-920
    • Lee, S.K.1    Mogi, G.2    Kim, J.W.3
  • 82
    • 56749161668 scopus 로고    scopus 로고
    • A fuzzy analytic hierarchy process approach for assessing national competitiveness in the hydrogen technology sector
    • doi:10.1016/j.ijhydene.2008.09.028
    • Lee, S. K., Mogi, G., Kim, J. W., & Gim, B. J. (2008). A fuzzy analytic hierarchy process approach for assessing national competitiveness in the hydrogen technology sector. International Journal of Hydrogen Energy, 33(23), 6840-6848. doi:10.1016/j.ijhydene.2008.09.028
    • (2008) International Journal of Hydrogen Energy , vol.33 , Issue.23 , pp. 6840-6848
    • Lee, S.K.1    Mogi, G.2    Kim, J.W.3    Gim, B.J.4
  • 83
    • 76749148982 scopus 로고    scopus 로고
    • Econometric analysis of the r&d performance in the national hydrogen energy technology development for measuring relative efficiency: The fuzzy ahp/dea integrated model approach
    • doi:10.1016/j. ijhydene.2010.01.009
    • Lee, S. K., Mogi, G., Lee, S. K., Hui, K. S., & Kim, J. W. (2010). Econometric analysis of the R&D performance in the national hydrogen energy technology development for measuring relative efficiency: The fuzzy AHP/DEA integrated model approach. International Journal of Hydrogen Energy, 35(6), 2236-2246. doi:10.1016/j. ijhydene.2010.01.009
    • (2010) International Journal of Hydrogen Energy , vol.35 , Issue.6 , pp. 2236-2246
    • Lee, S.K.1    Mogi, G.2    Lee, S.K.3    Hui, K.S.4    Kim, J.W.5
  • 84
    • 76749148982 scopus 로고    scopus 로고
    • Econometric analysis of the r&d performance in the national hydrogen energy technology development for measuring relative efficiency: The fuzzy ahp/dea integrated model approach
    • doi:10.1016/j. ijhydene.2010.01.009
    • Lee, S. K., Mogi, G., Lee, S. K., Hui, K. S., & Kim, J. W. (2010). Econometric analysis of the R&D performance in the national hydrogen energy technology development for measuring relative efficiency: The fuzzy AHP/DEA integrated model approach. International Journal of Hydrogen Energy, 35(6), 2236-2246. doi:10.1016/j. ijhydene.2010.01.009
    • (2010) International Journal of Hydrogen Energy , vol.35 , Issue.6 , pp. 2236-2246
    • Lee, S.K.1    Mogi, G.2    Lee, S.K.3    Hui, K.S.4    Kim, J.W.5
  • 85
    • 79551473996 scopus 로고    scopus 로고
    • Prioritizing the weights of hydrogen energy technologies in the sector of the hydrogen economy by using a fuzzy ahp approach
    • (in press), doi:. doi:10.1016/j.ijhydene.2010.01.035
    • Lee, S. K., Mogi, G., Lee, S. K., & Kim, J. W. (in press). Prioritizing the weights of hydrogen energy technologies in the sector of the hydrogen economy by using a fuzzy AHP approach. International Journal of Hydrogen Energy. doi:. doi:10.1016/j.ijhydene.2010.01.035
    • International Journal of Hydrogen Energy
    • Lee, S.K.1    Mogi, G.2    Lee, S.K.3    Kim, J.W.4
  • 86
    • 33847731009 scopus 로고    scopus 로고
    • A study on making a long-term improvement in the national energy efficiency and ghg control plans by the ahp approach
    • doi:10.1016/j.enpol.2006.09.019
    • Lee, S. K., Yoon, Y. J., & Kim, J. W. (2007). A study on making a long-term improvement in the national energy efficiency and GHG control plans by the AHP approach. Energy Policy, 35(5), 2862-2868. doi:10.1016/j.enpol.2006.09.019
    • (2007) Energy Policy , vol.35 , Issue.5 , pp. 2862-2868
    • Lee, S.K.1    Yoon, Y.J.2    Kim, J.W.3
  • 87
    • 77953137822 scopus 로고    scopus 로고
    • On comparing three artificial neural networks for wind speed forecasting
    • doi:10.1016/j.apenergy.2009.12.013
    • Li, G., & Shi, J. (2010). On comparing three artificial neural networks for wind speed forecasting. Applied Energy, 87(7), 2313-2320. doi:10.1016/j.apenergy.2009.12.013
    • (2010) Applied Energy , vol.87 , Issue.7 , pp. 2313-2320
    • Li, G.1    Shi, J.2
  • 88
    • 77956169754 scopus 로고    scopus 로고
    • Forecasting building energy consumption with hybrid genetic algorithm-hierarchical adaptive network-based fuzzy inference system
    • doi:10.1016/j.enbuild.2010.06.016
    • Li, K., & Su, H. (2010). Forecasting building energy consumption with hybrid genetic algorithm-hierarchical adaptive network-based fuzzy inference system. Energy and Building, 42(11), 2070-2076. doi:10.1016/j.enbuild.2010.06.016
    • (2010) Energy and Building , vol.42 , Issue.11 , pp. 2070-2076
    • Li, K.1    Su, H.2
  • 89
    • 76449115806 scopus 로고    scopus 로고
    • Genetic k-means algorithm based rbf network for photovoltaic mpp prediction
    • doi:10.1016/j.energy.2009.10.021
    • Liao, C.-C. (2010). Genetic k-means algorithm based RBF network for photovoltaic MPP prediction. Energy, 35(2), 529-536. doi:10.1016/j.energy.2009.10.021
    • (2010) Energy , vol.35 , Issue.2 , pp. 529-536
    • Liao, C.-C.1
  • 90
    • 17844383521 scopus 로고    scopus 로고
    • Siting analysis of farm-based centralized anaerobic digester systems for distributed generation using gis
    • doi:10.1016/j.biombioe.2004.12.003
    • Ma, J., Scott, N. R., Degloria, S. D., & Lembo, A. J. (2005). Siting analysis of farm-based centralized anaerobic digester systems for distributed generation using GIS. Biomass and Bioenergy, 28(6), 591-600. doi:10.1016/j.biombioe.2004.12.003
    • (2005) Biomass and Bioenergy , vol.28 , Issue.6 , pp. 591-600
    • Ma, J.1    Scott, N.R.2    Degloria, S.D.3    Lembo, A.J.4
  • 91
    • 62149125443 scopus 로고    scopus 로고
    • Assessing the performance of biogas plants with multi-criteria and data envelopment analysis
    • doi:10.1016/j.ejor.2007.12.051
    • Madlener, R., Antunes, C. H., & Dias, L. C. (2009). Assessing the performance of biogas plants with multi-criteria and data envelopment analysis. European Journal of Operational Research, 197(3), 1084-1094. doi:10.1016/j.ejor.2007.12.051
    • (2009) European Journal of Operational Research , vol.197 , Issue.3 , pp. 1084-1094
    • Madlener, R.1    Antunes, C.H.2    Dias, L.C.3
  • 92
    • 35648991030 scopus 로고    scopus 로고
    • New ways for the integrated appraisal of national energy scenarios: The case of renewable energy use in austria
    • doi:10.1016/j.enpol.2007.08.015
    • Madlener, R., Kowalski, K., & Stagl, S. (2007). New ways for the integrated appraisal of national energy scenarios: The case of renewable energy use in Austria. Energy Policy, 35(12), 6060-6074. doi:10.1016/j.enpol.2007.08.015
    • (2007) Energy Policy , vol.35 , Issue.12 , pp. 6060-6074
    • Madlener, R.1    Kowalski, K.2    Stagl, S.3
  • 93
    • 18844395417 scopus 로고    scopus 로고
    • Sustainabilityguided promotion of renewable electricity generation
    • doi:10.1016/j.ecolecon.2004.12.016
    • Madlener, R., & Stagl, S. (2005). Sustainabilityguided promotion of renewable electricity generation. Ecological Economics, 53(2), 147-167. doi:10.1016/j.ecolecon.2004.12.016
    • (2005) Ecological Economics , vol.53 , Issue.2 , pp. 147-167
    • Madlener, R.1    Stagl, S.2
  • 94
    • 51249194645 scopus 로고
    • A logical calculus of the ideas immanent in neural nets
    • doi:10.1007/BF02478259
    • McCulloch, W. S., & Pitts, W. A. (1943). A logical calculus of the ideas immanent in neural nets. The Bulletin of Mathematical Biophysics, 5, 115-133. doi:10.1007/BF02478259
    • (1943) The Bulletin of Mathematical Biophysics , vol.5 , pp. 115-133
    • McCulloch, W.S.1    Pitts, W.A.2
  • 95
    • 34548801291 scopus 로고    scopus 로고
    • The influence of perceived uncertainty on entrepreneurial action in emerging renewable energy technology; biomass gasification projects in the netherlands
    • doi:10.1016/j.enpol.2007.07.009
    • Meijer, I. S. M., Hekkert, M. P., & Koppenjan, J. F. M. (2007). The influence of perceived uncertainty on entrepreneurial action in emerging renewable energy technology; biomass gasification projects in the Netherlands. Energy Policy, 35, 5836-5854. doi:10.1016/j.enpol.2007.07.009
    • (2007) Energy Policy , vol.35 , pp. 5836-5854
    • Meijer, I.S.M.1    Hekkert, M.P.2    Koppenjan, J.F.M.3
  • 96
    • 77549086089 scopus 로고    scopus 로고
    • Ann-based ga for generating the sizing curve of stand-alone photovoltaic systems
    • doi:10.1016/j.advengsoft.2009.12.008
    • Mellit, A. (2010). Ann-based GA for generating the sizing curve of stand-alone photovoltaic systems. Advances in Engineering Software, 41(5), 687-693. doi:10.1016/j.advengsoft.2009.12.008
    • (2010) Advances In Engineering Software , vol.41 , Issue.5 , pp. 687-693
    • Mellit, A.1
  • 97
    • 34247521337 scopus 로고    scopus 로고
    • Sizing of stand-alone photovoltaic systems using neural network adaptive model
    • doi:10.1016/j.desal.2007.04.010
    • Mellit, A., & Benghanem, M. (2007). Sizing of stand-alone photovoltaic systems using neural network adaptive model. Desalination, 209(1-3), 64-72. doi:10.1016/j.desal.2007.04.010
    • (2007) Desalination , vol.209 , Issue.1-3 , pp. 64-72
    • Mellit, A.1    Benghanem, M.2
  • 98
    • 15744393954 scopus 로고    scopus 로고
    • An adaptive artificial neural network model for sizing stand-alone photovoltaic systems: Application for isolated sites in algeria
    • doi:10.1016/j.renene.2004.11.012
    • Mellit, A., Benghanem, M., Arab, A. H., & Guessoum, A. (2005). An adaptive artificial neural network model for sizing stand-alone photovoltaic systems: Application for isolated sites in Algeria. Renewable Energy, 30(10), 1501-1524. doi:10.1016/j.renene.2004.11.012
    • (2005) Renewable Energy , vol.30 , Issue.10 , pp. 1501-1524
    • Mellit, A.1    Benghanem, M.2    Arab, A.H.3    Guessoum, A.4
  • 99
    • 33748420215 scopus 로고    scopus 로고
    • Modeling and simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: Proposition for a new sizing procedure
    • doi:10.1016/j.renene.2006.01.002
    • Mellit, A., Benghanem, M., & Kalogirou, S. A. (2007). Modeling and simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: Proposition for a new sizing procedure. Renewable Energy, 32(2), 285-313. doi:10.1016/j.renene.2006.01.002
    • (2007) Renewable Energy , vol.32 , Issue.2 , pp. 285-313
    • Mellit, A.1    Benghanem, M.2    Kalogirou, S.A.3
  • 100
    • 77954314020 scopus 로고    scopus 로고
    • Application of neural networks and genetic algorithms for sizing of photovoltaic systems
    • doi:10.1016/j. renene.2010.04.017
    • Mellit, A., Kalogirou, S. A., & Drif, M. (2010). Application of neural networks and genetic algorithms for sizing of photovoltaic systems. Renewable Energy, 35(12), 2881-2893. doi:10.1016/j. renene.2010.04.017
    • (2010) Renewable Energy , vol.35 , Issue.12 , pp. 2881-2893
    • Mellit, A.1    Kalogirou, S.A.2    Drif, M.3
  • 101
    • 57649222644 scopus 로고    scopus 로고
    • Artificial intelligence techniques for sizing photovoltaic systems: A review
    • doi:10.1016/j.rser.2008.01.006
    • Mellit, A., Kalogirou, S. A., Hontoria, L., & Shaari, S. (2009). Artificial intelligence techniques for sizing photovoltaic systems: A review. Renewable & Sustainable Energy Reviews, 13(2), 406-419. doi:10.1016/j.rser.2008.01.006
    • (2009) Renewable & Sustainable Energy Reviews , vol.13 , Issue.2 , pp. 406-419
    • Mellit, A.1    Kalogirou, S.A.2    Hontoria, L.3    Shaari, S.4
  • 102
    • 0031996650 scopus 로고    scopus 로고
    • Evolutionary computation in power systems
    • doi:10.1016/S0142-0615(97)00040-9
    • Miranda, V., Srinivasan, D., & Proenç, A. M. (1998). Evolutionary computation in power systems. Electric Power Systems Research, 20(2), 89-98. doi:10.1016/S0142-0615(97)00040-9
    • (1998) Electric Power Systems Research , vol.20 , Issue.2 , pp. 89-98
    • Miranda, V.1    Srinivasan, D.2    Proença, M.3
  • 103
    • 46749145431 scopus 로고    scopus 로고
    • Planning of community heating systems modernization and development
    • doi:10.1016/j.applthermaleng.2007.11.020
    • Mróz, T. M. (2008). Planning of community heating systems modernization and development. Applied Thermal Engineering, 28(14-15), 1844- 1852. doi:10.1016/j.applthermaleng.2007.11.020
    • (2008) Applied Thermal Engineering , vol.28 , Issue.14-15 , pp. 1844
    • Mróz, T.M.1
  • 104
    • 33746976184 scopus 로고    scopus 로고
    • Use of artificial neural networks for transport energy demand modeling
    • doi:10.1016/j.enpol.2005.02.010
    • Murat, Y. S., & Ceylan, H. (2006). Use of artificial neural networks for transport energy demand modeling. Energy Policy, 34(17), 3165-3172. doi:10.1016/j.enpol.2005.02.010
    • (2006) Energy Policy , vol.34 , Issue.17 , pp. 3165-3172
    • Murat, Y.S.1    Ceylan, H.2
  • 105
    • 52349093047 scopus 로고    scopus 로고
    • Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption
    • doi:10.1016/j.enbuild.2008.06.013
    • Neto, A. H., & Fiorelli, F. A. S. (2008). Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption. Energy and Building, 40(12), 2169-2176. doi:10.1016/j.enbuild.2008.06.013
    • (2008) Energy and Building , vol.40 , Issue.12 , pp. 2169-2176
    • Neto, A.H.1    Fiorelli, F.A.S.2
  • 106
    • 84901521746 scopus 로고    scopus 로고
    • Which is the best solar thermal collection technology for electricity generation in north-West india? Evaluation of options using the analytical hierarchy process
    • (in press), forthcoming
    • Nixon, J. D., Dey, P. K., & Davies, P. A. (in press). Which is the best solar thermal collection technology for electricity generation in north-west India? Evaluation of options using the analytical hierarchy process. [forthcoming]. Energy.
    • Energy
    • Nixon, J.D.1    Dey, P.K.2    Davies, P.A.3
  • 107
    • 45849112208 scopus 로고    scopus 로고
    • Transshipment site selection using the ahp and topsis approaches under fuzzy environment
    • doi:10.1016/j. wasman.2007.05.019
    • Önüt, S., & Soner, S. (2008). Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment. Waste Management (New York, N.Y.), 28(9), 1552-1559. doi:10.1016/j. wasman.2007.05.019
    • (2008) Waste Management (New York, N.Y.) , vol.28 , Issue.9 , pp. 1552-1559
    • Önüt, S.1    Soner, S.2
  • 108
    • 1442283191 scopus 로고    scopus 로고
    • Compromise solution by mcdm methods: A comparative analysis of vikor and topsis
    • doi:10.1016/S0377-2217(03)00020-1
    • Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445-455. doi:10.1016/S0377-2217(03)00020-1
    • (2004) European Journal of Operational Research , vol.156 , Issue.2 , pp. 445-455
    • Opricovic, S.1    Tzeng, G.H.2
  • 109
    • 7544234827 scopus 로고    scopus 로고
    • Electricity estimation using genetic algorithm approach: A case study of turkey
    • doi:10.1016/j.energy.2004.08.008
    • Ozturk, H. K., Ceylan, H., Canyurt, O. E., & Hepbasli, A. (2005). Electricity estimation using genetic algorithm approach: a case study of Turkey. Energy, 30, 1003-1012. doi:10.1016/j.energy.2004.08.008
    • (2005) Energy , vol.30 , pp. 1003-1012
    • Ozturk, H.K.1    Ceylan, H.2    Canyurt, O.E.3    Hepbasli, A.4
  • 110
    • 33846266227 scopus 로고    scopus 로고
    • Forecasting electricity market pricing using artificial neural networks
    • doi:10.1016/j.enconman.2006.08.016
    • Pao, H. T. (2007). Forecasting electricity market pricing using artificial neural networks. Energy Conversion and Management, 48(3), 907-912. doi:10.1016/j.enconman.2006.08.016
    • (2007) Energy Conversion and Management , vol.48 , Issue.3 , pp. 907-912
    • Pao, H.T.1
  • 111
    • 69349100782 scopus 로고    scopus 로고
    • Forecasting energy consumption in taiwan using hybrid nonlinear models
    • doi:10.1016/j.energy.2009.04.026
    • Pao, H. T. (2009). Forecasting energy consumption in Taiwan using hybrid nonlinear models. Energy, 34(10), 1438-1446. doi:10.1016/j.energy.2009.04.026
    • (2009) Energy , vol.34 , Issue.10 , pp. 1438-1446
    • Pao, H.T.1
  • 112
    • 84901537754 scopus 로고    scopus 로고
    • Forecasting of preprocessed daily solar radiation time series using neural networks
    • (in press), forthcoming
    • Paoli, C., Voyant, C., Muselli, M., & Nivet, M.L. (in press). Forecasting of preprocessed daily solar radiation time series using neural networks. [forthcoming]. Solar Energy.
    • Solar Energy
    • Paoli, C.1    Voyant, C.2    Muselli, M.3    Nivet, M.L.4
  • 113
    • 38649095673 scopus 로고    scopus 로고
    • Application of the multi-criteria analysis method electre iii for the optimisation of decentralised energy systems
    • doi:10.1016/j.omega.2006.01.004
    • Papadopoulos, A., & Karagiannidis, A. (2008). Application of the multi-criteria analysis method ELECTRE III for the optimisation of decentralised energy systems. Omega, 36(5), 766-776. doi:10.1016/j.omega.2006.01.004
    • (2008) Omega , vol.36 , Issue.5 , pp. 766-776
    • Papadopoulos, A.1    Karagiannidis, A.2
  • 114
    • 84901565419 scopus 로고    scopus 로고
    • Softcomputing models for soot-blowing optimization in coal-fired utility boilers
    • (in press), [forthcoming]
    • Peña, B., Teruel, E., & Díez, L. I. (in press). Softcomputing models for soot-blowing optimization in coal-fired utility boilers. [forthcoming]. Applied Soft Computing.
    • Applied Soft Computing
    • Peña, B.1    Teruel, E.2    Díez, L.I.3
  • 115
    • 32844463459 scopus 로고    scopus 로고
    • Multi-Criteria evaluation of cooking devices with special reference to utility of parabolic solar cooker (psc) in india
    • doi:10.1016/j.energy.2005.04.012
    • Pohekar, S. D., & Ramachandran, M. (2006a). Multi-criteria evaluation of cooking devices with special reference to utility of parabolic solar cooker (PSC) in India. Energy, 31(8-9), 1215-1227. doi:10.1016/j.energy.2005.04.012
    • (2006) Energy , vol.31 , Issue.8-9 , pp. 1215-1227
    • Pohekar, S.D.1    Ramachandran, M.2
  • 116
    • 33746322713 scopus 로고    scopus 로고
    • Utility assessment of parabolic solar cooker as a domestic cooking device in india
    • doi:10.1016/j.renene.2005.09.014
    • Pohekar, S. D., & Ramachandran, M. (2006b). Utility assessment of parabolic solar cooker as a domestic cooking device in India. Renewable Energy, 31(11), 1827-1838. doi:10.1016/j.renene.2005.09.014
    • (2006) Renewable Energy , vol.31 , Issue.11 , pp. 1827-1838
    • Pohekar, S.D.1    Ramachandran, M.2
  • 117
    • 61349183730 scopus 로고    scopus 로고
    • Biosafuel, a pre-diagnosis tool of risks pertaining to biofuels chains
    • doi:10.1016/j.jlp.2008.09.014
    • Rivière, C., & Marlair, G. (2009). Biosafuel, a pre-diagnosis tool of risks pertaining to biofuels chains. Journal of Loss Prevention in the Process Industries, 22(2), 228-236. doi:10.1016/j.jlp.2008.09.014
    • (2009) Journal of Loss Prevention In the Process Industries , vol.22 , Issue.2 , pp. 228-236
    • Rivière, C.1    Marlair, G.2
  • 118
    • 70349547161 scopus 로고    scopus 로고
    • Sustainable expansion of electricity sector: Sustainability indicators as an instrument to support decision making
    • doi:10.1016/j.rser.2009.07.033
    • Rovere, E. L. L., Soares, J. B., Oliveira, L. B., & Lauria, T. (2010). Sustainable expansion of electricity sector: Sustainability indicators as an instrument to support decision making. Renewable & Sustainable Energy Reviews, 14(1), 422-429. doi:10.1016/j.rser.2009.07.033
    • (2010) Renewable & Sustainable Energy Reviews , vol.14 , Issue.1 , pp. 422-429
    • Rovere, E.L.L.1    Soares, J.B.2    Oliveira, L.B.3    Lauria, T.4
  • 120
    • 84945423325 scopus 로고    scopus 로고
    • Mathematical analysis of fuel cell strategic technologies development solutions in the automotive industry by the topsis multi-criteria decision making method
    • (in press), [forthcoming]
    • Sadeghzadeh, K., & Salehi, M. B. (in press). Mathematical analysis of fuel cell strategic technologies development solutions in the automotive industry by the TOPSIS multi-criteria decision making method. [forthcoming]. International Journal of Hydrogen Energy.
    • International Journal of Hydrogen Energy
    • Sadeghzadeh, K.1    Salehi, M.B.2
  • 121
    • 40749134141 scopus 로고    scopus 로고
    • Soft computing in engineering design - A review
    • doi:10.1016/j.aei.2007.10.001
    • Saridakis, K. M., & Dentsoras, A. J. (2008). Soft computing in engineering design - A review. Advanced Engineering Informatics, 22(2), 202-221. doi:10.1016/j.aei.2007.10.001
    • (2008) Advanced Engineering Informatics , vol.22 , Issue.2 , pp. 202-221
    • Saridakis, K.M.1    Dentsoras, A.J.2
  • 123
    • 64549158903 scopus 로고    scopus 로고
    • Comparison between eminent and other energy technology assessment tools
    • doi:10.1016/j.jclepro.2009.02.002
    • Segurado, R., Pereira, S., Pipio, A., & Alves, L. (2009). Comparison between EMINENT and other energy technology assessment tools. Journal of Cleaner Production, 17(10), 907-910. doi:10.1016/j.jclepro.2009.02.002
    • (2009) Journal of Cleaner Production , vol.17 , Issue.10 , pp. 907-910
    • Segurado, R.1    Pereira, S.2    Pipio, A.3    Alves, L.4
  • 124
    • 33847657519 scopus 로고    scopus 로고
    • Optimal configuration of power generating systems in isolated island with renewable energy
    • doi:10.1016/j.renene.2006.09.003
    • Senjyua, T., Hayashia, D., Yonaa, A., Urasakia, N., & Funabashib, T. (2007). Optimal configuration of power generating systems in isolated island with renewable energy. Renewable Energy, 32, 1917-1933. doi:10.1016/j.renene.2006.09.003
    • (2007) Renewable Energy , vol.32 , pp. 1917-1933
    • Senjyua, T.1    Hayashia, D.2    Yonaa, A.3    Urasakia, N.4    Funabashib, T.5
  • 126
    • 12444263238 scopus 로고    scopus 로고
    • Forecasting based on neural network approach of solar potential in turkey
    • doi:10.1016/j.renene.2004.09.020
    • Sozen, A., Arcaklioglu, E., Özalp, M., & Çaglar, N. (2005a). Forecasting based on neural network approach of solar potential in Turkey. Renewable Energy, 30(7), 1075-1090. doi:10.1016/j.renene.2004.09.020
    • (2005) Renewable Energy , vol.30 , Issue.7 , pp. 1075-1090
    • Sozen, A.1    Arcaklioglu, E.2    Özalp, M.3    Çaglar, N.4
  • 127
    • 21244445839 scopus 로고    scopus 로고
    • Modelling of the turkey's net energy consumption using artificial neural network
    • doi:10.1504/ IJCAT.2005.006944
    • Sozen, A., Arcaklioglu, E., & Ozkaymak, M. (2005b). Modelling of the Turkey's net energy consumption using artificial neural network. International Journal of Computer Applications in Technology, 22(2/3), 130-136. doi:10.1504/ IJCAT.2005.006944
    • (2005) International Journal of Computer Applications In Technology , vol.22 , Issue.2-3 , pp. 130-136
    • Sozen, A.1    Arcaklioglu, E.2    Ozkaymak, M.3
  • 128
    • 0004280809 scopus 로고
    • New York, NY: Oxford University Press Inc
    • Suh, N. P. (1990). The principles of design. New York, NY: Oxford University Press Inc.
    • (1990) The Principles of Design
    • Suh, N.P.1
  • 130
    • 45049087189 scopus 로고    scopus 로고
    • A novel approach to materials selection strategy case study: Wave energy extraction impulse turbine blade
    • doi:10.1016/j.matdes.2008.04.022
    • Thakker, A., Jarvis, J., Buggy, M., & Sahed, A. (2008). A novel approach to materials selection strategy case study: Wave energy extraction impulse turbine blade. Materials & Design, 29(10), 1973-1980. doi:10.1016/j.matdes.2008.04.022
    • (2008) Materials & Design , vol.29 , Issue.10 , pp. 1973-1980
    • Thakker, A.1    Jarvis, J.2    Buggy, M.3    Sahed, A.4
  • 131
    • 71549138711 scopus 로고    scopus 로고
    • Load profile impact on the gross energy requirement of stand-alone photovoltaic systems
    • doi:10.1016/j.renene.2009.08.005
    • Thiaux, Y., Seigneurbieux, J., Multon, B., & Ben Ahmed, H. (2010). Load profile impact on the gross energy requirement of stand-alone photovoltaic systems. Renewable Energy, 35(3), 602-613. doi:10.1016/j.renene.2009.08.005
    • (2010) Renewable Energy , vol.35 , Issue.3 , pp. 602-613
    • Thiaux, Y.1    Seigneurbieux, J.2    Multon, B.3    Ben Ahmed, H.4
  • 132
    • 34248530761 scopus 로고    scopus 로고
    • Ant colony optimization approach to estimate energy demand in turkey
    • doi:10.1016/j.enpol.2007.01.028
    • Toksari, M. D. (2007). Ant colony optimization approach to estimate energy demand in Turkey. Energy Policy, 35, 3984-3990. doi:10.1016/j.enpol.2007.01.028
    • (2007) Energy Policy , vol.35 , pp. 3984-3990
    • Toksari, M.D.1
  • 133
    • 58149416322 scopus 로고
    • Elimination by aspects: A theory of choice
    • doi:10.1037/h0032955
    • Tversky, A. (1972). Elimination by aspects: A theory of choice. Psychological Review, 79, 281-299. doi:10.1037/h0032955
    • (1972) Psychological Review , vol.79 , pp. 281-299
    • Tversky, A.1
  • 134
    • 0001818505 scopus 로고    scopus 로고
    • Soft computing technologies in nuclear engineering applications
    • doi:10.1016/S0149-1970(97)00109-1
    • Uhrig, R. E., & Tsoukalas, L. H. (1999). Soft computing technologies in nuclear engineering applications. Progress in Nuclear Energy, 34(1), 13-75. doi:10.1016/S0149-1970(97)00109-1
    • (1999) Progress In Nuclear Energy , vol.34 , Issue.1 , pp. 13-75
    • Uhrig, R.E.1    Tsoukalas, L.H.2
  • 135
    • 43149117467 scopus 로고    scopus 로고
    • Improvement of energy demand forecasts using swarm intelligence: The case of turkey with projections to 2025
    • doi:10.1016/j.enpol.2008.02.018
    • Ünler, A. (2008). Improvement of energy demand forecasts using swarm intelligence: The case of turkey with projections to 2025. Energy Policy, 36(6), 1937-1944. doi:10.1016/j.enpol.2008.02.018
    • (2008) Energy Policy , vol.36 , Issue.6 , pp. 1937-1944
    • Ünler, A.1
  • 137
    • 75749117046 scopus 로고    scopus 로고
    • Energy dispatch controllers for a photovoltaic system
    • doi:10.1016/j.engappai.2009.11.001
    • Venayagamoorthy, G. K., & Welch, R. L. (2010). Energy dispatch controllers for a photovoltaic system. Engineering Applications of Artificial Intelligence, 23(2), 249-261. doi:10.1016/j.engappai.2009.11.001
    • (2010) Engineering Applications of Artificial Intelligence , vol.23 , Issue.2 , pp. 249-261
    • Venayagamoorthy, G.K.1    Welch, R.L.2
  • 138
    • 0037408956 scopus 로고    scopus 로고
    • Economic dispatch solutions with piecewise quadratic cost functions using improved genetic algorithm
    • doi:10.1016/ S0142-0615(02)00098-4
    • Won, J. R., & Park, Y. M. (2003). Economic dispatch solutions with piecewise quadratic cost functions using improved genetic algorithm. International Journal of Electrical Power & Energy Systems, 25(5), 355-361. doi:10.1016/ S0142-0615(02)00098-4
    • (2003) International Journal of Electrical Power & Energy Systems , vol.25 , Issue.5 , pp. 355-361
    • Won, J.R.1    Park, Y.M.2
  • 139
    • 70649095104 scopus 로고    scopus 로고
    • An improved ant colony optimization algorithm for solving a complex combinatorial optimization problem
    • doi:10.1016/j.asoc.2009.08.040
    • Yang, J., & Zhuang, Y. (2010). An improved ant colony optimization algorithm for solving a complex combinatorial optimization problem. Applied Soft Computing, 10(2), 653-660. doi:10.1016/j.asoc.2009.08.040
    • (2010) Applied Soft Computing , vol.10 , Issue.2 , pp. 653-660
    • Yang, J.1    Zhuang, Y.2
  • 141
    • 28844464693 scopus 로고    scopus 로고
    • Genetic algorithmtrained radial basis function neural networks for modelling photovoltaic panels
    • doi:10.1016/j.engappai.2005.02.004
    • Zhang, L., & Fei Bai, Y. (2005). Genetic algorithmtrained radial basis function neural networks for modelling photovoltaic panels. Engineering Applications of Artificial Intelligence, 18(7), 833-844. doi:10.1016/j.engappai.2005.02.004
    • (2005) Engineering Applications of Artificial Intelligence , vol.18 , Issue.7 , pp. 833-844
    • Zhang, L.1    Fei Bai, Y.2


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