Support vector regression based prediction of global solar radiation on a horizontal surface

By Kasra Mohammadi, Shahaboddin Shamshirband, Mohammad Hossein Anisi, Khubaib Amjad Alam, Dalibor Petkovic. 2015

200 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/a20d67cb552c1cdea4261c807873ff55e4f72b52

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 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).”