Zemouri, N.; Mezaache, H.; Zemali, Z.; La Foresta, F.; Versaci, M.; Angiulli, G.
Hybrid AI-Based Framework for Renewable Energy Forecasting: One-Stage Decomposition and Sample Entropy Reconstruction with Least-Squares Regression. Energies 2025, 18, 2942.
https://doi.org/10.3390/en18112942
AMA Style
Zemouri N, Mezaache H, Zemali Z, La Foresta F, Versaci M, Angiulli G.
Hybrid AI-Based Framework for Renewable Energy Forecasting: One-Stage Decomposition and Sample Entropy Reconstruction with Least-Squares Regression. Energies. 2025; 18(11):2942.
https://doi.org/10.3390/en18112942
Chicago/Turabian Style
Zemouri, Nahed, Hatem Mezaache, Zakaria Zemali, Fabio La Foresta, Mario Versaci, and Giovanni Angiulli.
2025. "Hybrid AI-Based Framework for Renewable Energy Forecasting: One-Stage Decomposition and Sample Entropy Reconstruction with Least-Squares Regression" Energies 18, no. 11: 2942.
https://doi.org/10.3390/en18112942
APA Style
Zemouri, N., Mezaache, H., Zemali, Z., La Foresta, F., Versaci, M., & Angiulli, G.
(2025). Hybrid AI-Based Framework for Renewable Energy Forecasting: One-Stage Decomposition and Sample Entropy Reconstruction with Least-Squares Regression. Energies, 18(11), 2942.
https://doi.org/10.3390/en18112942