The Evaluation of Bidders 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.

关键词： dynamic inertia weight PSO LS-SVM competitive power

作者: Xiu-e Yuan Xiaoya Sun

作者单位: Dpartment of Economy and Management North China Electric Power University hebei, Baoding, China

会议类型: 国际会议

会议名称: The Second International Conference on Business Intelligence and Financial Engineering(BIFE 2009)(第二届商务智能与金融工程国际会议)

会议地点: 北京

会议语种:英文

页码: 148-151

在线出版日期: 2009-07-24（万方平台首次上网日期，不代表论文的发表时间）