Evaluation of temperature-based global solar radiation models in China

By Xiaoyin Liu, X. Mei, Yuzhong Li, Qingsuo Wang, J. R. Jensen, Yanqing Zhang, John R. Porter. 2009

154 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Global and Planetary Change, Plant Science

View Paper: https://www.semanticscholar.org/paper/4764be11240f56a9a08ccf4865f2ef5b9d8fcf90

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. Shahaboddin Shamshirband
2. Dalibor Petkovic
3. Kasra Mohammadi
4. Saad Mekhilef
5. Chong Wen Tong

In Global and Planetary Change

1. Shahaboddin Shamshirband
2. Dalibor Petkovic
3. Kasra Mohammadi

Citations in the corpus

• A support vector machine–firefly algorithm-based model for global solar radiation prediction (2015, background): “However, due to inaccessibility of sunshine duration data in some locations, some studies have proved that good estimations can be attained by using measured maximum and minimum temperature as inputs (Hargreaves and Samani, 1982; Bristow and Campbell, 1984; Liu et al., 2009).”