A fusion model for day-ahead wind speed prediction based on the validity of the information

In recent years wind power is a hot topic in the field of new energy. However, due to the larger fluctuations of wind power, which is a threat to the safe operation of the power grid, large-scale wind power integration has been greatly restricted. Therefore, accurate wind speed forecast has great significance to wind power integration, especially the day-ahead wind speed forecast of 1-24 hours. For the sake of accurate wind speed forecast, the information efficiency of NWP and measured data were taken into account in this paper. Based on this, a fusion model was proposed. Experiments show that the fusion strategy can improve the accuracy of the day-ahead wind speed prediction results.