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

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

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...

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Bibliographic Details
Main Authors: Hai Tao, Ahmed A. Ewees, Ali Omran Al-Sulttani, Ufuk Beyaztas, Mohammed Majeed Hameed, Sinan Q. Salih, Asaad M. Armanuos, Nadhir Al-Ansari, Cyril Voyant, Shamsuddin Shahid, Zaher Mundher Yaseen
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:Energy Reports
Subjects:
Solar radiation
Metaheuristic algorithms
Optimizer
Renewable energy
North Dakota
Online Access:http://www.sciencedirect.com/science/article/pii/S235248472031458X

Internet

http://www.sciencedirect.com/science/article/pii/S235248472031458X

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