DocumentCode
2987859
Title
Application of genetic algorithm to middle-long term optimal combination power load forecast
Author
Bike Xue ; Jian Geng ; Yaxian Zheng ; Jun Li
Author_Institution
China Electr. Power Res. Inst., Nanjing, China
fYear
2013
fDate
22-25 Oct. 2013
Firstpage
1
Lastpage
4
Abstract
To improve the precision of middle and long-term power load forecast, combined forecasting method has been introduced in this Paper. The advantages of several forecasting methods can he integrated in the model to get more exact results.But because of the characteristic of the optimal combination model, it can not be solved directly by LP algorithm. The genetic algorithm has been used to get the combination weights,and the satisfactory results have been obtained. To validate the effect of the method, the 12 months load of the year 2012 for one area have been forecasted.
Keywords
genetic algorithms; load forecasting; power markets; combined forecasting method; genetic algorithm; middle long term optimal combination power load forecast; optimal combination model; Genetic algorithms; Load forecasting; Load modeling; Predictive models; Sociology; Statistics; genetic algorithm; middle and long term load forecast; optimal combination;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2013 - 2013 IEEE Region 10 Conference (31194)
Conference_Location
Xi´an
ISSN
2159-3442
Print_ISBN
978-1-4799-2825-5
Type
conf
DOI
10.1109/TENCON.2013.6719074
Filename
6719074
Link To Document