DocumentCode
2516843
Title
A novel prediction modeling scheme based on multiple information fusion for day-ahead electricity price
Author
Tian, Huixin ; Li, Kun ; Meng, Bo
Author_Institution
Electr. Eng. & Autom. Dept., Tianjin Polytech. Univ., Tianjin, China
fYear
2011
fDate
23-25 May 2011
Firstpage
1801
Lastpage
1805
Abstract
On the basis of the information fusion idea, a novel multiple information fusion modeling method is proposed. Several artificial neural networks are used to fuse the information of data. And then the results of information fusion by ANNs will be fused again according to their performance. Using the novel multiple information fusion scheme, a new modeling approach is presented to establish the prediction model. The day-ahead electricity price prediction model is tested by the real data. The experiments demonstrate that the new prediction model established by multiple information fusion method has better performance.
Keywords
neural nets; power engineering computing; power markets; sensor fusion; artificial neural networks; day-ahead electricity price; multiple information fusion modeling method; prediction modeling scheme; Artificial neural networks; Data models; Electricity; Machine learning; Power markets; Prediction algorithms; Predictive models; Multiple information fusion; artificial neural network; electricity price; prediction model;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location
Mianyang
Print_ISBN
978-1-4244-8737-0
Type
conf
DOI
10.1109/CCDC.2011.5968490
Filename
5968490
Link To Document