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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This page is a summary of: A support vector machine–firefly algorithm-based model for global solar radiation prediction, Solar Energy, May 2015, Elsevier,
DOI: 10.1016/j.solener.2015.03.015.
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