Identifying the most significant input parameters for predicting global solar radiation using an ANFIS selection procedure

By Kasra Mohammadi, Shahaboddin Shamshirband, Amirrudin Bin Kamsin, P C Lai, Zulkefli Mansor. 2016

86 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/e36a69ac61879654bc0b0af3bcf7544e0dbd06c6

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. Annamária R. Várkonyi-Kóczy
2. Timon Rabczuk
3. Shahaboddin Shamshirband
4. Amir Mosavi

In Renewable Energy, Sustainability and the Environment

1. Shahaboddin Shamshirband

Citations in the corpus

• State of the Art of Machine Learning Models in Energy Systems, a Systematic Review (2019, methodology): “RMSE values for study by Mohammadi et al. (2016).”