Neural Network Predicted Data of Solar Images

This data was generated by a neural network. It includes mean irradiance, weighed irradiance, cloud coverage, atmospheric indicator, irradiance obtained by equation, sun's position (real and obtained via picture), and their predicted values. They were obtained by using a convolutional neural network and a recurrent neural network hybrid.

LOSS: 0.0131 // MAE: 0.0607

This dataset is meant to be used as a foundation of what neural networks can do and the accuracy of the data they can predict. Also, this dataset may be used to describe the movement of the sun and the climate conditions of the location in the photographs.