Risk Evaluation of Power Supplying Enterprises Based on Principal Component Analysis and BP Neural Network

With the development and reformation of China´s power market, the environment of production and management is changing fundamentally. Therefore, considering the risk character of power supply enterprises, an evaluation index system to evaluate the risk in power supply enterprises is established. Then by combining PCA (principal component analysis) and BP neural network together, a risk evaluation model is put forward. At last, we give a test, the result shows that this method can be adopted in the risk assessment of power supply enterprises and it could give an accurate judgement of risk management.