Global solar radiation prediction over North Dakota using air temperature: development of novel hybrid intelligence model

• Main Authors: Tao, Hai, Ewees, Ahmed A., Al-Sulttani, Ali Omran, Beyaztas, Ufuk, Hameed, Mohammed Majeed, Salih, Sinan Q., Armanuos, Asaad M., Al-Ansari, Nadhir, Voyant, Cyril, Shahid, Shamsuddin, Yaseen, Zaher Mundher
• Format: Article
• Language: English
• Published: Elsevier Ltd 2021
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/96459/1/ShamsuddinShahid2021_GlobalSolarRadiationPredictionoverNorth.pdf; http://eprints.utm.my/id/eprint/96459/; http://dx.doi.org/10.1016/j.egyr.2020.11.033

Accurate solar radiation (SR) prediction is one of the essential prerequisites of harvesting solar energy. The current study proposed a novel intelligence model through hybridization of Adaptive Neuro-Fuzzy Inference System (ANFIS) with two metaheuristic optimization algorithms, Salp Swarm Algorithm...