General models for estimating daily global solar radiation for different solar radiation zones in mainland China

By Maolin Li, Xiao-Ping Tang, Wei Wu, Hongbin Liu. 2013

418 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/f6a59d2abf2e870983803c897f63c31c02e805c4

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, background): “According to Li et al. (2013), different ranges of RRMSE can be defined to show the models’ capability such that a model precision is Table 1 Optimal values of user-defined parameters for the SVM model Parameters”