Global solar radiation in Central European lowlands estimated by various empirical formulae

By M. Trnka, Z. Žalud, Josef Eitzinger, M. Dubrovský. 2005

199 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Global and Planetary Change, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/f89ec125c14b0bb3f339c93937355b9dbab4c870

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

In Renewable Energy, Sustainability and the Environment

1. Shahaboddin Shamshirband
2. Dalibor Petkovic
3. Saad Mekhilef
4. Kasra Mohammadi
5. Yousef A. Mahmoud
6. Ehab F. El-Saadany
7. Mohamed A. Abdelwahed
8. Zengshi Chen

Citations in the corpus

• A support vector machine–firefly algorithm-based model for global solar radiation prediction (2015, background): “In many researches, the parameters such as sunshine duration, maximum and minimum temperatures have been recognized as the most proper elements for solar radiation prediction (Besharat et al., 2013; Trnka et al., 2005; Chen and Li, 2013; Wu et al., 2007).”