Design of a Photovoltaic Power Prediction System Based on Improved Ensemble Learning Algorithms

Addressing the specific requirements of monitoring photovoltaic (PV) power stations, this article enhances the conventional Web structure and introduces a PV power prediction system based on a refined integration algorithm. Firstly, upon the established three-layer Web framework, the article incorporates an algorithm interface layer and a weather interface layer, thereby reducing the operational burden on the server layer, optimizing the overall system structure, and efficiently elevating the server-side utilization rate. Secondly, aligned with the system's practical needs, customized design of main modules to simplify system processes, implementing a browser/server architecture for visualizing PV power. Ultimately, the results indicate that the system exhibits commendable operability and predictive accuracy among other advantages.