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
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;
Conference_Titel :
Computer and Information Application (ICCIA), 2010 International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-8597-0
DOI :
10.1109/ICCIA.2010.6141635