DocumentCode
1934766
Title
Dynamic Forecast on Electric Power System with Short-Term Data
Author
Zhao, Zhen-Yu ; Li, Guo-dong ; Chen, De-gang
Author_Institution
North China Electr. Power Univ., Beijing
Volume
5
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
2996
Lastpage
2999
Abstract
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.
Keywords
load forecasting; time series; electric power system forecasting; mathematical statistics analysis; time series analysis; Cybernetics; Electronics industry; Food industry; Machine learning; Machinery production industries; Manufacturing industries; Mathematical model; Metal product industries; Metals industry; Power system dynamics; Data for forecast; Electric power; Mathematical model;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-0973-0
Electronic_ISBN
978-1-4244-0973-0
Type
conf
DOI
10.1109/ICMLC.2007.4370661
Filename
4370661
Link To Document