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Case of study: Photovoltaic faults recognition method based on data mining techniques

Authors

Serrano-Luján, L.; Cadenas, J. M.; Faxas-Guzmán, J.; Urbina, A.

Journal

   Journal of Renewable and Sustainable Energy
   Volume 8
   Issue 4
   Pages 0 to 0
   Year 2016

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BIbTex format
@article{
title={Case of study: Photovoltaic faults recognition method based on data mining techniques},
author={Serrano-Luján, L. and Cadenas, J. M. and Faxas-Guzmán, J. and Urbina, A.},
journal={Journal of Renewable and Sustainable Energy },
year={2016},
volume={8},
number={4},
pages={0-0},
doi={},
}
RIS format (for Reference Manager, ProCite, EndNote)
TY - JOUR
T1 - Case of study: Photovoltaic faults recognition method based on data mining techniques
AU - Serrano-Luján, L.
AU - Cadenas, J. M.
AU - Faxas-Guzmán, J.
AU - Urbina, A.
TI - Journal of Renewable and Sustainable Energy
PY - 2016
VL - 8
M1 - 4
SP - 0-0
DO -
ER -
RefWorks format
RT Journal Article
T1 Case of study: Photovoltaic faults recognition method based on data mining techniques
A1 Serrano-Luján, L.
A1 Cadenas, J. M.
A1 Faxas-Guzmán, J.
A1 Urbina, A.
JF Journal of Renewable and Sustainable Energy
YR 2016
VO 8
IS 4
SP 0-0
DO

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Physical properties and applications of materials
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