Method for establishing dynamic wind speed prediction model establishment method

The invention discloses a method for establishing a dynamic wind speed prediction model. The method comprises the following steps of: acquiring actually measured wind speed data of a target area, and preprocessing the actually measured wind speed data; training and predicting the pre-processed actually measured wind speed data by using a plurality of prediction algorithms to obtain a plurality of wind speed prediction models, and forming a Q learning model set; adding wind speed fluctuation conditions and attribute factors to the Q learning model set, selecting an optimal wind speed prediction model of each time period through a Q reinforcement learning algorithm, obtaining preliminary wind speed prediction data, and calculating wind speed prediction errors; and constructing an error Q learning model library based on the wind speed prediction error, selecting an optimal wind speed prediction error model from the error Q learning model library through a Q reinforcement learning algorithm to correct the initial