Load Forecasting Method Based on Gray Related Weighted Combination with Revised Parameter

摘要：

For the Gray model GM(1,1) is not fit long-middle term load forecasting as well as imprecision caused by overlarge|a|. The paper proposes a novel method of forecasting long-middle term power load: Weighted forecasting method of gray related degree with revised parameter. The method can make various factors weakened or counteracted and prevent the forecasting data from increasing too fast. The effectiveness of the proposed model is demonstrated by a test in a certain area. The result shows that the method is useful both in theory and in practice.

关键词： Gray model Gray related weighted combination Revised parameter

作者: Fan Chengxian Liu Shuqin

作者单位: The School of Electrical Engineering of Shandong University,Jinan,China 250061

会议类型: 国际会议

会议名称: 2009 International Conference on Information,Electronic and Computer Science(2009 国际信息、电子与计算机工程学术会议)

会议地点: 青岛

会议语种:英文

页码: 152-155

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）