The development and utilization of renewable energy is regarded as an important way to solve energy problems. In this context

accurate prediction of renewable energy generation is of great significance for energy allocation and grid management. Artificial intelligence technology has played an important role in predicting renewable energy generation due to its outstanding capabilities in data processing and predictive analysis. Therefore

this paper explores the application of artificial intelligence technology in improving the accuracy and efficiency of renewable energy generation forecasting

aiming to provide reference for optimizing the existing energy structure.