A method for predict short-term wind speed the parameters of neural network are optimized by crossover algorithm, By means of iterative longitudinal and transverse cross-calculations of wind velocityparticles, the most suitable particles were screened out, Fitness reflects the difference between the target output and the actual output, the higher the fitness, the stronger the prediction ability of neural network, the particles with the highest fitness can embody the optimal solution of the whole training wind speed group, The particle with the highest fitness can not only find the optimal solution for the whole, It avoids the defect of the local optimization of the neural network, and can improve the generalization ability of the neural network by adjusting the parameters of the neural network with the highest fitness, the network parameters are better, the prediction accuracy can be greatly improved, and then the utilization of wind energy can be improved. The invention also discloses a short-term wind speed prediction device, a device, a system and a readable storage medium, which have the beneficial effects.