Power Consumption Forecast by Combining Neural Networks with Immune Algorithm

Considering the impact of multi-factors, established a forecasting model, and then designed the structure of BP neural network while applying immune algorithm to optimize its network structure and weights, a nonlinear network model between power consumption and the affected factors was obtained through training the relative data of power consumption from 1980 to 2005 in China, and power consumption was forecasted. The result shows that the forecast by this model is more accurate.