Ensemble Learning Algorithm-based Artificial Neural Network for Predicting Solar Radiation Data

Trustworthy acquaintance and accurate solar radiation measurements are a condition for designing and managing solar energy systems. Frequently, there are substantial spatial and temporal lacks of measures so that predictive approaches become of interest. In the present paper, an ensemble learning approach is proposed based on the deep neural network technique. The suggested approach is applied to forecast the hourly time series of global solar...