Abstract: In this paper, an end-to-end photovoltaic power prediction model based on convolution and self-attention coding network is proposed by combining the advantages of convolution in modeling spatial hierarchical characteristics and self-attention coding network′s long-distance dependence on time series. Compared with the existing prediction methods, the prediction accuracy is higher and it has better universality.