Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
Algeria naturally has a significant solar potential. This qualitative constant favors the exploitation and development of this energy resource. However, the use of this energy requires knowledge of the potential of solar radiation on horizontal and inclined planes. In fact, the objective of this study is to develop a neural model that can be used to predict the daily global solar radiation average received on a horizontal surface. Several models using different meteorological and astronomical parameters were studied in order to choose the most efficient model based on error between real and predicted irradiation. The results indicate that the model using as input variables: azimuth, zenith angle, extraterrestrial solar radiation, relative humidity, precipitation and wind speed is the most efficient among the studied models.
How to cite this article:
Abdelghani Harrag and Sabir Messalti. Artificial Neural Networks Modeling of Relation Relaying Daily Global Solar Radiation to Astronomical and Meteorological Parameters.
DOI: https://doi.org/10.36478/jeasci.2017.2667.2675
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2017.2667.2675