A support vector machine–firefly algorithm-based model for global solar radiation prediction

Lanre Olatomiwa, Saad Mekhilef, Shahaboddin Shamshirband, Kasra Mohammadi, Dalibor Petković, Ch Sudheer
  • Solar Energy, May 2015, Elsevier
  • DOI: 10.1016/j.solener.2015.03.015

Global solar radiation prediction

What is it about?

In this paper, the accuracy of a hybrid machine learning technique for solar radiation prediction based on some meteorological data is examined. For this aim, a novel method named as SVM-FFA is developed by hybridizing the Support Vector Machines (SVM) with Firefly Algorithm (FFA) to predict the monthly mean horizontal global solar radiation using three meteorological parameters.

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http://dx.doi.org/10.1016/j.solener.2015.03.015

The following have contributed to this page: Shahab shamshirband, Dr Lanre Olatomiwa, and Dr Shahaboddin Shamshirband