Daily Time Series Estimation of Global Horizontal Solar Radiation from Artificial Neural Networks

M. Bellaoui, K. Bouchouicha, N. Aoun, B. Oulimar, A. Babahadj

2018

Abstract

Obtaining a complete and efficient database is necessary for the sizing of photovoltaic systems. Despite the existence of the unit-level radiometric chain, the acquisition of data from different radiation components has problems, and thus gaps in the radiometric database. Thus, good sizing is possible only if the measurements are available continuously in space and time. The purpose of our work is to use the insolation basis for the estimation of the global daily radiation at the URER-MS research unit (Latitude 27.87 Longitude -0.272) using neuronal techniques. the efficiency of using neural networks as a global solar irradiation modeling tool.

Paper Citation

in Harvard Style

Bellaoui M., Bouchouicha K., Aoun N., Oulimar B. and Babahadj A. (2018). Daily Time Series Estimation of Global Horizontal Solar Radiation from Artificial Neural Networks.In Proceedings of the 1st International Conference of Computer Science and Renewable Energies - Volume 1: ICCSRE, ISBN 978-989-758-431-2, pages 405-408. DOI: 10.5220/0009775204050408

in Bibtex Style

@conference{iccsre18,
author={M. Bellaoui and K. Bouchouicha and N. Aoun and B. Oulimar and A. Babahadj},
title={Daily Time Series Estimation of Global Horizontal Solar Radiation from Artificial Neural Networks},
booktitle={Proceedings of the 1st International Conference of Computer Science and Renewable Energies - Volume 1: ICCSRE,},
year={2018},
pages={405-408},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009775204050408},
isbn={978-989-758-431-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference of Computer Science and Renewable Energies - Volume 1: ICCSRE,
TI - Daily Time Series Estimation of Global Horizontal Solar Radiation from Artificial Neural Networks
SN - 978-989-758-431-2
AU - Bellaoui M.
AU - Bouchouicha K.
AU - Aoun N.
AU - Oulimar B.
AU - Babahadj A.
PY - 2018
SP - 405
EP - 408
DO - 10.5220/0009775204050408