DYNAMIC FORECAST ON ELECTRIC POWER SYSTEM WITH SHORT-TERM DATA

摘要：

In this paper, for future long-term forecasting using short-term data, a preferable method is put forward, combining time series analysis with mathematical statistics analysis.It works by taking out more efficient data and getting rid of the others, which turns out to be more precise.

关键词： Data for forecast Mathematical model Electric power

作者: ZHEN-YU ZHAO GUO-DONG LI DE-GANG CHEN

作者单位: School of Business Administration, North China Electric Power University, Beijing 102206, China School of Mathematics and Physics, North China Electric Power University, Beijing 102206, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 2996-2999

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）