计算机技术与发展2012，Vol.22Issue(1)：9-12,4.
基于全信息新陈代谢的GM(1,1)电力预测
Application of Metabolic GM (1,1) with All Information on Electric Demand Forecasting
摘要
Abstract
It's easy to establish gray forecasting model with only four sample data by traditional gray method,but the latest information was neglected, which resulted in obsolescence model of low precision. The improved GM( 1,1) of gray forecasting model was more rational and scientific. Limitations was avoided when modeling with all information. When a new data was forecasted,the oldest data was removed,which ensured the effectiveness of the data. The improved GM( 1,1) model calculation program was achieved by Matlab. It turned out well dealing with the electric load prediction in Shuangliu county.关键词
全信息/新陈代谢/电力预测/MatlabKey words
all information/metabolism/electric demand forecasting/Matlab分类
信息技术与安全科学引用本文复制引用
蒋红霞,黄晓荣..基于全信息新陈代谢的GM(1,1)电力预测[J].计算机技术与发展,2012,22(1):9-12,4.基金项目
中国水利水电科学研究院开放基金项目(08SL-01) （08SL-01）
水资源与水电工程科学国家重点实验室(2008B040) （2008B040）
双流县"十二五"规划课题研究 （）
