The Short-Term Load Forecasting of Power System Based on Genetic-Fuzzy Algorithm

摘要：

The fuzzy system with network structure as the forecasting model, and the improved genetic algorithm is taken to confirm system parameters. A case study of load forecasting in a certain power network shows that the model which is based on this way has a better fitting precision.

关键词： Network structure Fuzzy system Genetic algorithm Load forecasting

作者: Qiao-lin DING Xue-hua PAN jian-xin liu

作者单位: School of Electrical and Electronic Engineering,North China Electric Power University,Baoding,071003,Hebei Province,China

会议类型: 国际会议

会议名称: 2008 China International Conference on Electricity Distribution (CICED 2008)(2008中国国际供电会议)

会议地点: 广州

会议语种:英文

页码: 1-4

在线出版日期: 2008-12-10（万方平台首次上网日期，不代表论文的发表时间）