A multilayer perceptron neural network approach for optimizing solar irradiance forecasting in Central Africa with meteorological insights

A multilayer perceptron neural network approach for optimizing solar irradiance forecasting in Central Africa with meteorological insights

Abstract Promoting renewable energy sources, particularly in the solar industry, has the potential to address the energy shortfall in Central Africa. Nevertheless, a difficulty occurs due to the erratic characteristics of solar irradiance data, which is influenced by climatic fluctuations and challe...

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Bibliographic Details
Main Authors: Inoussah Moungnutou Mfetoum, Simon Koumi Ngoh, Reagan Jean Jacques Molu, Brice Félix Nde Kenfack, Raphaël Onguene, Serge Raoul Dzonde Naoussi, Jean Gaston Tamba, Mohit Bajaj, Milkias Berhanu
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Subjects:
Solar radiation
Feed-forward network
Multilayer perceptron
Neural network
Online Access:https://doi.org/10.1038/s41598-024-54181-y

Internet

https://doi.org/10.1038/s41598-024-54181-y

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