Abstract To improve the accuracy of wind power forecasting, improved ACA (Ant Colony Algorithm) is used to optimize GRU (Gated Recurrent Unit) model. First, original generation data normalized; Second, neural network model established, and ant colony algorithm it; Finally, optimized non-optimized are predict short-term output, prediction results compared verify that ACA-GRU has higher for output.