Global solar radiation prediction over North Dakota using air
Global solar radiation prediction over North Dakota using air
temperature: Development of novel hybrid intelligence model
The names of researchers:
Hai Tao a,
Ahmed A. Ewees b,c,
Ali Omran Al-Sulttani d,
Ufuk Beyaztas e,
Mohammed Majeed Hameed f,
Sinan Q. Salih g,h,
Asaad M. Armanuos i,
Nadhir Al-Ansari j,
Cyril Voyant k,
Shamsuddin Shahid l,
Mundher Yaseen m,∗
Abstract:
Accurate solar radiation (SR) prediction is one of the essential prerequisites of harvesting solarenergy. 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 (SSA) and Grasshopper Optimization Algorithm (GOA) (ANFIS-muSG) for global SR prediction at different locations of North Dakota, USA.