Comparison of machine learning and deep learning algorithms for hourly global/diffuse solar radiation predictions
Olusola Bamisile(University of Electronic Science and Technology of China), Qi Huang(Chengdu University of Technology), Chukwuebuka Joseph Ejiyi(University of Electronic Science and Technology of China), Sandra Obiora(University of Electronic Science and Technology of China), Nasser Yimen(Université de Yaoundé I), Ariyo Oluwasanmi(University of Electronic Science and Technology of China)
Cited by 110
Related Papers
The environmental factors affecting solar photovoltaic output
|Renewable and Sustainable Energy Reviews|2024|229
A hybrid explainable ensemble transformer encoder for pneumonia identification from chest X-ray images
|Journal of Advanced Research|2022|158
Performance analysis of a novel solar PTC integrated system for multi-generation with hydrogen production
|International Journal of Hydrogen Energy|2019|103
Progress in Energy Storage Technologies and Methods for Renewable Energy Systems Application
|Applied Sciences|2023|101
Modelling and performance analysis of an innovative CPVT, wind and biogas integrated comprehensive energy system: An energy and exergy approach
|Energy Conversion and Management|2020|99