A model for determining the global solar radiation for Makurdi, Nigeria
By J. K. Yohanna, I. Itodo, V. Umogbai. 2011
66 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/9b1c1b497938a026a03f9a4d78fa42277dc646dd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Renewable Energy, Sustainability and the Environment
- Shahaboddin Shamshirband
- Dalibor Petkovic
- Saad Mekhilef
- Kasra Mohammadi
- Yousef A. Mahmoud
- Ehab F. El-Saadany
- Mohamed A. Abdelwahed
- Zengshi Chen
Citations in the corpus
- A support vector machine–firefly algorithm-based model for global solar radiation prediction (2015, methodology): “…capability of our SVM–FFA approach is different between Reference Model type Inputs parameters Country of study Coefficient of determination (R2) Yohanna et al. (2011) Empirical 3 Nigeria 0.608 Ramedani et al. (2014) ANN 7 Iran 0.799 Ramedani et al. (2014) ANFIS 7 Iran 0.801 Ramedani et al.…”