DocumentCode
3187328
Title
Prediction of day-ahead electricity price based on information fusion
Author
Tian, Huixin ; Zhang, Mu ; Meng, Bo
Author_Institution
Sch. of Electr. Eng. & Autom., Tianjin Polytech. Univ., Tianjin, China
fYear
2010
fDate
3-5 Dec. 2010
Firstpage
457
Lastpage
460
Abstract
Aiming at the characters of day-ahead electricity price, a novel information fusion method is proposed. A new neural network method ELM is selected for its better performance as the core algorithm of information fusion. Using the information fusion ideas, a new modeling approach is proposed 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 ELM information fusion method has better performance.
Keywords
neural nets; power markets; day-ahead electricity price; information fusion; neural network; Biological neural networks; Computational modeling; Electricity; Power markets; Prediction algorithms; Predictive models; Information fusion; electricity market; electricity price prediction; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Application (ICCIA), 2010 International Conference on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-8597-0
Type
conf
DOI
10.1109/ICCIA.2010.6141635
Filename
6141635
Link To Document