New sunshine-based models for predicting global solar radiation using PSO (particle swarm optimizati

By M. Behrang, E. Assareh, A. Noghrehabadi, A. Ghanbarzadeh. 2011

99 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/e36056d035d8cb4b8abc99d7162c534a15346f77

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 Electrical and Electronic Engineering

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

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, methodology): “Behrang et al. (2011) applied particle swarm optimization (PSO) technique to estimate monthly mean daily global solar radiation on a horizontal surface for 17 cities in different regions of Iran.”