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Application and Prospect of Deep Learning in New Energy Power System

Building a new power system with new energy as the main body is one of the most important measures to achieve “carbon peak and carbon neutral” in China, which also puts forward higher requirements on the data analysis and processing capacity of the current power system. In recent years, artificial intelligence algorithms represented by deep learning have provided strong support for the realization and development of new energy power system. The paper summarizes the basic characteristics of deep learning algorithm and its five mainstream models. From the aspects of image recognition, power load prediction, fault diagnosis and system optimization scheduling, the application of deep learning in new energy power system is deeply analyzed. The application prospect of deep learning in new energy power system is prospected in order to provide reference for the research and construction of new power system.