Knowledge Eztraction Model for Power Load Characteristics of Special Days and Eztreme Weather

摘要：

Load forecasting is a traditional research field of power system, under normal circumstance, there are great similarities between the similar days, but under the condition of special days and extreme weather, load prediction has some uncertainty. Extraction model for load characteristics of special days and extreme weather was proposed in this paper, coding strategy and genetic operation of traditional genetic algorithm were redefined in the model, the relational rules about relation between power load special days and extreme weather were extracted. At the same time, the credibility of these rules was proven by practice.

关键词： load forecasting rules eztraction

作者: Dou Quansheng Shi Zhongzhi Pan Guanyu Yang Bin

作者单位: School of Computer Science and Technology,Shandong Institute of Business and Technology,Yantai,China Institute of Computing Technology,Chinese Academy of Sciences,Beijing,China Department of Information Engineering,JiLin Business and Technology College,Changchun,China Heilongjing Electric Power Company Limited Harbin,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 496-499

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）