Fecha de publicación: 18/02/2022 Fuente: Wipo "BigData" The invention provides a GDP current prediction method based on electric power big data, wherein the method comprises the steps: constructing a plurality of GDP current prediction models based on historical sample data, wherein the historical sample data comprises economic statistical data and/or electric power data of a historical time period; based on historical sample data, using different prediction methods to train the plurality of GDP current prediction models to obtain mean square prediction errors of a plurality of combinations formed by combining the different prediction methods and the plurality of GDP current prediction models; determining an optimal combination according to the mean square prediction errors of all the combinations; and performing current prediction on the GDP by using the optimal combination and economic statistical data and/or power data in a preset time period. The different prediction methods comprise a frequency mixing data sampling model method, a prediction combination method and a dynamic factor method. According to the invention, the GDP can be predicted more timely and accurately.