Evaluation of artificial neural networks with satellite data inputs for daily, monthly, and yearly solar irradiation prediction for Pakistan

• Main Authors: Faisal Nawab, Ag Sufiyan Abd Hamid, Ali Alwaeli, Muhammad Arif, Mohd Faizal Fauzan, Adnan Ibrahim
• Format: Article
• Language: English; English
• Published: Multidisciplinary Digital Publishing Institute (MDPI) 2022
• Subjects: QC851-999 Meteorology. Climatology Including the earth's atmosphere
• Online Access: https://eprints.ums.edu.my/id/eprint/34203/1/FULL%20TEXT.pdf; https://eprints.ums.edu.my/id/eprint/34203/4/ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/34203/; https://www.mdpi.com/2071-1050/14/13/7945/htm; https://doi.org/10.3390/su14137945

Solar irradiation is the most critical parameter to consider when designing solar energy systems. The high cost and difficulty of measuring solar irradiation makes it impractical in every location. This study’s primary objective was to develop an artificial neural network (ANN) model for global hori...