Evaluating the impact of deep learning approaches on solar and photovoltaic power forecasting: A systematic review

Evaluating the impact of deep learning approaches on solar and photovoltaic power forecasting: A systematic review

Accurate solar and photovoltaic (PV) power forecasting is essential for optimizing grid integration, managing energy storage, and maximizing the efficiency of solar power systems. Deep learning (DL) models have shown promise in this area due to their ability to learn complex, non-linear relationship...

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Bibliographic Details
Main Authors: Oussama Khouili, Mohamed Hanine, Mohamed Louzazni, Miguel Angel López Flores, Eduardo García Villena, Imran Ashraf
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Energy Strategy Reviews
Subjects:
Deep learning
PV power forecasting
Solar radiation forecasting
Systematic review
Online Access:http://www.sciencedirect.com/science/article/pii/S2211467X25000987
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