2.1. PSO-BP PV Power Prediction Model Due to the increase in electricity demand and the stochastic nature of PV power generation, the accuracy of PV power prediction is of great significance for power scheduling [19]. It is crucial for the prediction model to obtain the historical data and environmental data. The main factors affecting PV power prediction include temperature, humidity, irradiance, etc. [20]. In the PV power prediction field, various prediction methods are widely used.