Potential of adaptive neuro-fuzzy system for prediction of daily global solar radiation by day of the year

By Kasra Mohammadi, Shahaboddin Shamshirband, Chong Wen Tong, Khubaib Amjad Alam, Dalibor Petkovic. 2015

124 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/24f89debf170395e616fc709d351a7b16f6a8650

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

1. Chong Wen Tong
2. Shahaboddin Shamshirband
3. Sudheer Ch
4. Kasra Mohammadi
5. Shervin Motamedi
6. Mazdak Zamani

In Electrical and Electronic Engineering

1. Shahaboddin Shamshirband
2. Sudheer Ch
3. Chong Wen Tong
4. Kasra Mohammadi

In Renewable Energy, Sustainability and the Environment

1. Shahaboddin Shamshirband
2. Chong Wen Tong
3. Sudheer Ch
4. Shervin Motamedi
5. Mazdak Zamani
6. Kasra Mohammadi

Citations in the corpus

• A hybrid SVM-FFA method for prediction of monthly mean global solar radiation (2015, methodology): “In this research work, an approach same as the previous studies was applied to achieve further accuracy and consistency in the quality of data (Mohammadi et al. 2015a; Mohammadi et al. 2015b).”