Review on artificial neural network based solar radiation prediction

Accurate prediction of global solar radiation (GSR) is very important for all solar energy applications such as design of solar energy system, management of solar power plants and so on. But GSR data is not easily available in all the locations of India due to cost and other technical issues in measurement techniques. Hence it is essential to predict the solar radiation by employing solar radiation prediction models with available meteorological parameters as inputs. The input parameters include sunshine duration, temperature, wind speed, atmospheric pressure, and relative humidity and so on. This work is focused on the review of Artificial Neural Network (ANN) based solar radiation prediction. The ANN based model is applicable wherever the radiation data is unavailable. From the review results, it is concluded that ANN model gives good prediction accuracy than conventional regression models with correlation coefficient ranges from 0.97 to 0.99.