Electric Power Load Forecasting Based on Fuzzy Optimal Theory

摘要：

The paper proposes a new forecasting method for mid-long term electric power load based on the fuzzy optimal theory. The proposed model considering various kinds of error information overcomes the shortcoming of single model as well as the traditional combined model whose objective is to improve just one error index. Through the case study, we prove that the accuracy can be improved obviously and the model is a new and effective method for mid-long term electric load forecasting.

关键词： combined forecasting muti-error index system fuzzy optimum theory

作者: WANG Biao FENG Gang HUANG Jing XIAO Xian-Yong

作者单位: Sichuan Electric Power Research Institute, Chengdu, 610072 Zigong Electric Power Bureau, Sichuan Province Electric Power Company, Zigong, 643000 College of Electrical Engineering & Information Technology, SichuanUniversity, Chengdu ,610065, Chin

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)

会议地点: 三亚

会议语种:英文

页码: 821-824

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）