Assessment of Global Solar Energy Under All-Sky Condition Using Artificial Neural Network

Author:

Benatiallah D.,Bouchouicha K.,Benatiallah A.,Harouz A.,Nasri B.

Publisher

Springer International Publishing

Reference20 articles.

1. Rahman, S., et al.: Prediction of solar radiation using artificial neural network. J. Phys. 1767 (2021). https://doi.org/10.1088/1742-6596/1767/1/012041

2. Kaushika, N., Tomar, R., Kaushik, S.: Artificial neural network model based on interrelationship of direct, diffuse and global solar radiations. Sol. Energy 103, 327–342 (2014). https://doi.org/10.1016/j.solener.2014.02.015

3. Benatiallah, A., Benatiallah, D., Ghaitaoui, T., Harrouz, H., Mansouri, S.: Modelling and simulation of renewable energy systems in Algeria. Int. J. Sci. Appl. Inf. Technol. 7, 17–22 (2017)

4. Mellit, M., Benghanem, A., Arab, H., Guessoum, A.: Modeling of sizing the photovoltaic system parameters using artificial neural network. In: Proceedings of IEEE, CCA, Istanbul, no. 1, pp. 353–357 (2003)

5. Benatiallah, D., Benatiallah, A., Bouchouicha K., Nasri, B.: Estimation of clear sky global solar radiation in Algeria. AIMS Energy (7), 710–727 (2019)

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