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 challenging to regulate. The current investigation focuses on predicting solar irradiance on an inclined surface, taking into consideration the impact of climatic variables such as temperature, wind speed, humidity, and air pressure. The used methodology for this objective is Artificial Neural Network (ANN), and the inquiry is carried out in the metropolitan region of Douala. The data collection device used in this research is the meteorological station located at the IUT of Douala. This station was built as a component of the Douala sustainable city effort, in partnership with the CUD and the IRD. Data was collected at 30-min intervals for a duration of around 2 years, namely from January 17, 2019, to October 30, 2020. The aforementioned data has been saved in a database that underwent pre-processing in Excel and later employed MATLAB for the creation of the artificial neural network model. 80% of the available data was utilized for training the network, 15% was allotted for validation, and the remaining 5% was used for testing. Different combinations of input data were evaluated to ascertain their individual degrees of accuracy. The logistic Sigmoid function, with 50 hidden layer neurons, yielded a correlation coefficient of 98.883% between the observed and estimated sun irradiation. This function is suggested for evaluating the intensities of solar radiation at the place being researched and at other sites that have similar climatic conditions.

Applied Science Research Center Applied Science Private University Amman 11937 Jordan

Department of Electrical and Computer Engineering College of Engineering Addis Ababa Science and Technology University Addis Ababa Ethiopia

Department of Electrical Engineering Graphic Era Dehradun 248002 India

Department of Industrial Engineering and Maintenance University Institute of Technology of Douala University of Douala P O Box 8689 Douala Cameroon

Department of Thermal Engineering and Energy University Institute of Technology of Douala University of Douala P O Box 8689 Douala Cameroon

Graphic Era Hill University Dehradun 248002 India

Hourani Center for Applied Scientific Research Al Ahliyya Amman University Amman Jordan

Technologies and Applied Sciences Laboratory University Institute of Technology of Douala University of Douala P O Box 8689 Douala Cameroon

Transport and Applied Logistic Laboratory University Institute of Technology of Douala University of Douala P O Box 8689 Douala Cameroon

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