A direct normal irradiation forecasting model based on artificial neural networks

Autor:	I. Belhaj, O. El Fatni, S. Barhmi, E.H. Saidi
Jazyk:	English<br />French
Rok vydání:	2016
Předmět:	forecasting artificial neural networks direct normal irradiation (dni) backpropagation perceptron Renewable energy sources TJ807-830
Zdroj:	Revue des Énergies Renouvelables, Vol 19, Iss 1, Pp 21 – 28-21 – 28 (2016)
Druh dokumentu:	article
ISSN:	1112-2242 2716-8247
Popis:	We investigate the forecasting of the hourly Direct Normal Irradiation (DNI) using Artificial Neural Networks (ANN). The data used are hourly satellite data for the region of Ouarzazate in the South West Mediterranean basin region. The database is a total of 19 years. A feed-forward multilayer Perceptron is used with ten input parameters. The results show a very good accuracy for the four seasons of the years forecasted.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/e928348e82cb44b3896a4f1ead49cbdc Zobrazit plný text záznamu View record in DOAJ