A new hybrid support vector machine–wavelet transform approach for estimation of horizontal global solar radiation

By Kasra Mohammadi, Shahaboddin Shamshirband, Chong Wen Tong, Muhammad Arif, Dalibor Petkovic, Sudheer Ch. 2015

241 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/6cbeca878249c95c907660281e41eaf4e19a6944

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. Muhammad Naveed Akhter
6. Hazlie Mokhlis
7. Noraisyah Mohamed Shah
8. Shervin Motamedi

In Electrical and Electronic Engineering

1. Shahaboddin Shamshirband
2. Sudheer Ch
3. Chong Wen Tong
4. Muhammad Naveed Akhter
5. Hazlie Mokhlis
6. Noraisyah Mohamed Shah
7. Saad Mekhilef
8. Kasra Mohammadi

In Environmental Engineering

1. Shahaboddin Shamshirband
2. Chong Wen Tong
3. Kasra Mohammadi

Citations in the corpus

• A hybrid SVM-FFA method for prediction of monthly mean global solar radiation (2015, methodology): “In this research work, an approach same as the previous studies was applied to achieve further accuracy and consistency in the quality of data (Mohammadi et al. 2015a; Mohammadi et al. 2015b).”
• Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques (2019, methodology): “[124] developed a hybrid (SWM-WT) technique for daily and monthly prediction of horizontal GSR in an Iranian city.”