Research on Spatiotemporal Data Restoration and Power Prediction Model of Electric Carbon Green Energy Based on Machine Learning

With the gradual development and application of new energy sources, the establishment of new energy power plants challenges the spatiotemporal data monitoring of new energy sources. Due to the inability to obtain accurate spatiotemporal data, there are still big problems in the power prediction of new energy generation. With the aid of artificial intelligence for intelligent monitoring, this paper finds out the abnormal points from the real-time data of space and time, and for automatic correction, it then improves the energy application structure.