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
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;
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
DOI :
10.1109/ICMLC.2007.4370661
