The Application of Ant Colony Algorithm in Combined Power Load Forecasting

The ant colony algorithm also named ACO method, Artificial ants have memory function, it in the process of movement through a pheromone path to release, finally found a road from their nests to food source through the shortest, called the catalytic processes of ants, which is a positive feedback mechanism, it has good robustness, fast convergence speed, easy to get the global optimal solution. Based on random increase and nonlinear wave -- residual series, grey prediction can reflect the increasing and support vector machine can show the nonlinear relationship. The improving ACO method can make the optimization weight to achieve the goal of accuracy, consistency to the prediction values, finally precision of the series can be improved obviously. Through computation of power load in a province, the experimental results show that this method can greatly improve the accuracy of the load forecasting.