DocumentCode
582222
Title
Research on intelligent forecasting method of medium and long-term electricity load
Author
Wang Deji ; Lian Jie ; Xie Junming
Author_Institution
Henan Radio & Telev. Univ., Zhengzhou, China
fYear
2012
fDate
25-27 July 2012
Firstpage
3928
Lastpage
3931
Abstract
Because traditional prediction algorithm can not accurately forecast long-term electricity load, chaos SVM prediction algorithm was introduced and some of its characteristics were discussed. The kernel function was chosen under the guidance of the geometric information. The experiment shows that the algorithm is more accurate and effective than the others.
Keywords
chaos; load forecasting; prediction theory; support vector machines; chaos SVM prediction algorithm; geometric information; intelligent forecasting method; kernel function; long-term electricity load forecasting; medium-term electricity load forecasting; prediction algorithm; Chaos; Electricity; Electronic mail; Forecasting; Prediction algorithms; Support vector machines; TV; Chaos; Prediction; SVM;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2012 31st Chinese
Conference_Location
Hefei
ISSN
1934-1768
Print_ISBN
978-1-4673-2581-3
Type
conf
Filename
6390612
Link To Document