Validation of Global Solar Radiation (GSR) Data Using Artificial Neural Networks (ANN) for Estimation of GSR in Nigeria for Solar Energy Applications
Keywords:
Neural Network, Global Solar Radiation, MATLAB software.Abstract
The potential use of ANN in this study is to validate the collected Global Solar Radiation (GSR) data with results obtained from ANN for prediction of solar global radiation for our stations and any other locations where solar energy is required. The written computer codes were used to carry out the analysis and the simulation carried out using MATLAB software. The ANN model indicates good training performance with RMSE value of 0.0371 MJ/m2/day and standard deviation of 1.955 x 10-4MJ /m2/day and R2 greater than 0.7.
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