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 :
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