Abstract: Addressing the issue of slow prediction speed due to multiple influencing factors in photovoltaic power generation forecasting, the article designs a power generation prediction method based on an improved similar day algorithm. This method predicts the power generation output of photovoltaic power stations based on historical days that are similar to the target date in multiple aspects, thereby improving both prediction accuracy and efficiency.