A comprehensive analysis of advanced solar panel productivity and efficiency through numerical models and emotional neural networks

A comprehensive analysis of advanced solar panel productivity and efficiency through numerical models and emotional neural networks

Abstract This study presents an in-depth analysis and evaluation of the performance of a standard 200 W solar cell, focusing on the energy and exergy aspects. A significant research gap exists in the comprehensive integration of numerical models with advanced machine-learning approaches, specificall...

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Bibliographic Details
Main Authors: Ali Basem, Serikzhan Opakhai, Zakaria Mohamed Salem Elbarbary, Farruh Atamurotov, Natei Ermias Benti
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Solar cell
Comparative analysis
Environmental conditions
Energy and exergy efficiency
Machine-learning
Online Access:https://doi.org/10.1038/s41598-024-70682-2
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