Research on gray prediction modeling optimized by genetic algorithm for energy consumption demand

The traditional gray prediction model is widely used in various fields, but it has some limitations. In this paper, a method based on genetic algorithm optimizing gray modeling process is proposed, and the flow chart of modeling is given. This method makes full use of the advantages of the gray prediction model and characteristics of genetic algorithm to find global optimization. So the prediction model is more accurate. The Example shows that the model can be used as energy consumption demand an effective tool for prediction.