The Evaluation of Bidder's Competitive Power Based on LS-SVM Optimized by Dynamic Inertia Weight PSO Algorithm

摘要

The evaluation of competitive power is very important for bidder in power system, how to improve the accuracy and efficiency of evaluation is the keystone people pay attention to, and many researchs have been done around it. A combined model of least squares support vector machines optimized by an improved particle swarm optimization algorithm is proposed in this paper to do evaluate the competitive.A real case is experimented with to test the performance of the model, the result shows that the proposed algorithm can reduce testing error and improve the effciency of traditional evaluate model.