Long-Term Global Solar Radiation Prediction in 25 Cities in Morocco Using the FFNN-BP Method

Long-Term Global Solar Radiation Prediction in 25 Cities in Morocco Using the FFNN-BP Method

This article presents different combinations of input parameters based on an intelligent technique, using neural networks to predict daily global solar radiation (GSR) for twenty-five Moroccan cities. The collected measured data are available for 365 days and 25 stations around Morocco. Different in...

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Bibliographic Details
Main Authors: Brahim Belmahdi, Mohamed Louzazni, Mohamed Akour, Daniel Tudor Cotfas, Petru Adrian Cotfas, Abdelmajid El Bouardi
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Energy Research
Subjects:
artificial neural networks
solar prediction
daily global solar radiation
input parameters
statistical metrics
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2021.733842/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2021.733842/full

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