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Accurate thermal prediction model for building-integrated photovoltaics systems using guided artificial intelligence algorithms

Authors

Serrano-Luján, L.; Toledo, C.; Colmenar, J. M.; Abad, J.; Urbina-Yeregui, A.

Journal

   Applied Energy
   Volume 315
   Pages 0 to 1
   Year 2022

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BIbTex format
@article{
title={Accurate thermal prediction model for building-integrated photovoltaics systems using guided artificial intelligence algorithms},
author={Serrano-Luján, L. and Toledo, C. and Colmenar, J. M. and Abad, J. and Urbina-Yeregui, A.},
journal={Applied Energy},
year={2022},
volume={315},
number={},
pages={0-1},
doi={},
}
RIS format (for Reference Manager, ProCite, EndNote)
TY - JOUR
T1 - Accurate thermal prediction model for building-integrated photovoltaics systems using guided artificial intelligence algorithms
AU - Serrano-Luján, L.
AU - Toledo, C.
AU - Colmenar, J. M.
AU - Abad, J.
AU - Urbina-Yeregui, A.
TI - Applied Energy
PY - 2022
VL - 315
M1 -
SP - 0-1
DO -
ER -
RefWorks format
RT Journal Article
T1 Accurate thermal prediction model for building-integrated photovoltaics systems using guided artificial intelligence algorithms
A1 Serrano-Luján, L.
A1 Toledo, C.
A1 Colmenar, J. M.
A1 Abad, J.
A1 Urbina-Yeregui, A.
JF Applied Energy
YR 2022
VO 315
IS
SP 0-1
DO

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Physical properties and applications of materials
Dr. Juan Jesús Beato-López
Departamento de Ciencias. Edificio Acebos
Campus Arrosadia
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