WIND AND SOLAR POWER PREDICTION METHOD AND APPARATUS BASED ON METEOROLOGICAL LARGE MODEL

A wind and solar power prediction method and apparatus based on a meteorological large model are provided by the present application. The method includes: creating a meteorological large model ensemble forecast data set (ENS0), and performing ensemble assimilation and forecasting to obtain a deterministic forecast data set (F0); constructing a fine-tuning localization matrix, and performing exhaustive search and selection to obtain a deterministic grid forecast data set (F100) based on the fine-tuning localization matrix and the meteorological large model ensemble forecast data set (ENS0); performing spatial scale separation on the deterministic grid forecast data set (F100), and performing exhaustive search and selection to obtain a meteorological large model deterministic grid forecast data set (D100); and calculating weights by using historical gridded data of the meteorological large model deterministic grid forecast data set (D100), and performing a weighted average according to the weights to obtain a fused power prediction time series.