Risk assessment in electrical power network planning project based on principal component analysis and support vector machine

In this paper, a model based on principal component analysis (PCA) and support vector machine (SVM) is used for the risk assessment in the electrical power network planning project to discriminate good projects from bad ones, and a set of comprehensive index system is established here according to the practical situation. In order to verify the effectiveness of the method, a group of actual projects are given and the experimental results show that the model has high correct classification accuracy.