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Volumn , Issue , 2008, Pages 1644-1649

Artifical neural networks applied for representation of curves current-voltage of photovoltaic modules

Author keywords

[No Author keywords available]

Indexed keywords

ENERGY CONVERSION; NETWORK PROTOCOLS; NEURAL NETWORKS; RENEWABLE ENERGY RESOURCES; SENSOR NETWORKS; SOLAR POWER GENERATION; SOLAR POWER PLANTS; SOLAR RADIATION; STRUCTURES (BUILT OBJECTS);

EID: 54849437289     PISSN: 19354576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INDIN.2008.4618367     Document Type: Conference Paper
Times cited : (7)

References (12)
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    • L. V. B. M. Neto, L. G. M. Oliveira, C. V. T. Cabral, D. O. Filho, P. C. Cortizo and A. S. C. Diniz. Development of models for test performance of pv modules. 3rd World Conference on Photovoltaic Energy Conversion, Osaka, Japan, 12-16 May 2003.
  • 2
    • 54849428505 scopus 로고    scopus 로고
    • L. E. Zárate, E. M. D. Pereira, J. P. D. Silva, R. Vimieiro, S. Pires, & A. S. C. Diniz. Representation of a solar collector via artificial neural networks. In M. H. Hamza, editor, International Conference on Artificial Intelligenceand Applications, Benalmádena, Spain, September 2003, pp. 517 - 522. IASTED, ACTA Press.
    • L. E. Zárate, E. M. D. Pereira, J. P. D. Silva, R. Vimieiro, S. Pires, & A. S. C. Diniz. Representation of a solar collector via artificial neural networks. In M. H. Hamza, editor, International Conference on Artificial Intelligenceand Applications, Benalmádena, Spain, September 2003, pp. 517 - 522. IASTED, ACTA Press.
  • 5
    • 0007875906 scopus 로고    scopus 로고
    • Edição acadêmica São Paulo, Cap 5, pp, São Paulo. Brasil
    • Z. L. Kovács, "Redes Neurais Artificiais", (Edição acadêmica São Paulo, Cap 5, pp. 75-76. São Paulo. Brasil, 1996).
    • (1996) Redes Neurais Artificiais , pp. 75-76
    • Kovács, Z.L.1
  • 6
    • 54849427457 scopus 로고    scopus 로고
    • American Society for Testing and Materials, Inc. ASTM E 1036M, 96 Standard Test Methods for Electrical Performance of Nonconcentrator Terrestrial Photovoltaic Modules and Arrays Using Reference Cells
    • American Society for Testing and Materials, Inc. ASTM E 1036M - 96 Standard Test Methods for Electrical Performance of Nonconcentrator Terrestrial Photovoltaic Modules and Arrays Using Reference Cells, 1996.
    • (1996)
  • 7
    • 0028497748 scopus 로고
    • Model optimization of photovoltaic cells
    • B. Sorensen. "Model optimization of photovoltaic cells". Solar Energy materials and Solar Cells. Vol. 34, 1-4, pp. 133-140, 1994.
    • (1994) Solar Energy materials and Solar Cells , vol.34 , Issue.1-4 , pp. 133-140
    • Sorensen, B.1
  • 8
    • 0344980643 scopus 로고    scopus 로고
    • Estimation of the maximum power and normal operating power of a photovoltaicmodule by neural networks
    • A.B.G. Bahat, N.H. Helwa, G.E. Ahamad, E.T.El Shenawy. "Estimation of the maximum power and normal operating power of a photovoltaicmodule by neural networks", Renewable Energy, 29, pp. 443-457, 2004.
    • (2004) Renewable Energy , vol.29 , pp. 443-457
    • Bahat, A.B.G.1    Helwa, N.H.2    Ahamad, G.E.3    El Shenawy, E.T.4
  • 9
    • 15744393954 scopus 로고    scopus 로고
    • An adaptiveartificial neural network model for sizing stand-alone photovoltaic systems: Application for isolated sites in Algeria
    • A. Mellit, M. Benghanen, A. Hadj Arab and A. Guessoum. "An adaptiveartificial neural network model for sizing stand-alone photovoltaic systems: application for isolated sites in Algeria" Renewable Energy, Vol. 30, Issue 10, pp. 1501-1524, 2004.
    • (2004) Renewable Energy , vol.30 , Issue.10 , pp. 1501-1524
    • Mellit, A.1    Benghanen, M.2    Hadj Arab, A.3    Guessoum, A.4
  • 10
    • 33847218007 scopus 로고    scopus 로고
    • Modeling an Simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: Proposition for a new sizing procedure
    • A. Mellit, M. Benghanem and S.A. Kalogirou, "Modeling an Simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: proposition for a new sizing procedure. Renewable Energy, 2006.
    • (2006) Renewable Energy
    • Mellit, A.1    Benghanem, M.2    Kalogirou, S.A.3
  • 12
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    • Why does output Normalization create problems in multiple classifier systems?
    • Altincay, H. and Demirekler, M., 2002. Why does output Normalization create problems in multiple classifier systems?. In Proc. ICPR, 775-778.
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    • Altincay, H.1    Demirekler, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.