The Model Based on Grey Theory and PSO for Electricity Consumption Forecasting

摘要：

To improve the forecasting precision of electricity consumption, and content the demand of marketing, we establish the model by combining Particle Swarm Optimization (PSO) with the improved grey theory. The method is simple, easy to do practice and its convergence rate is quick. It can find the overall optimal solution of problems in great probability, and can effectively overcome the shortage of the traditional grey theory. To prove the validity, this paper forecasts the electricity consumption in Bayannur region. The result shows that, the model has higher forecasting precision and extensive application.

作者: Wei Sun Yujing Yan

作者单位: Department of Economy Management, North China Electric Power University, Baoding 071003, Hebei, China

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 152-156

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）