Assessing the Impact of Spatial Proximity Data on the Solar Insolation Prediction

Improving the prediction of the availability of solar energy resources became a necessary component in the operation of utilities with a high penetration level of renewable energy resources. In this article, the solar insolation data in spatial proximity is leveraged to investigate the error in the prediction of solar insolation using multiple learning algorithms. Different error measures are util...