Artificial neural network estimation of global solar radiation using air temperature and relative humidity

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A new hybrid support vector machine–wavelet transform approach for estimation of horizontal global solar radiation (2015, methodology): “Rehman and Mohandes [22] used ambient temperature and relative humidity as inputs to predict global solar radiation for Abha city in Saudi Arabia using artificial neural network (ANN) technique.”
Short-Term Solar Irradiance Forecasting Model Based on Artificial Neural Network Using Statistical Feature Parameters (2012, methodology): “The available computational models include linear regression models [4,5], satellite data based models [6,7] and ANN models using meteorological parameters [8,9].”
New sunshine-based models for predicting global solar radiation using PSO (particle swarm optimizati (2011, background): “Studying the behavior of solar radiation at the intended site requires long-term data in a nearby location along with empirical, semi-empirical, physical, neural networks, etc techniques [2].”
Time-Series Regression Model for Prediction of Mean Daily Global Solar Radiation in Al-Ain, UAE (2012, methodology): “Other authors worked on prediction models based on ANN techniques and most specifically multilayer perceptron (MLP) and radial-basis function (RBF) methods [25–37].”