Power network is a complex nonlinear system. The complex system analysis theory was applied to analyze the power network and divide it into some subsystems according to its cluster analysis.Then back profagation neural network incorporated with weather influence factors was used to forecast the power network shortterm load. Experimental results verify that the method is helpful to improve the forecasting accuracy.