DocumentCode
2850858
Title
Day-ahead electricity price prediction based on multiple ELM
Author
Tian, Huixin ; Meng, Bo ; Wang, Shuzhou
Author_Institution
Sch. of Electr. Eng. & Autom., Tianjin Polytech. Univ., Tianjin, China
fYear
2010
fDate
26-28 May 2010
Firstpage
241
Lastpage
244
Abstract
Aiming at the characters of day-ahead electricity price, an electricity price prediction model is established by combining the intelligent modeling methods. A new neural network method ELM is selected for its better performance to establish the basic day-ahead electricity price prediction model. Using the information fusion and ensemble ideas, a multiple ELM 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 the new method has better performance.
Keywords
learning (artificial intelligence); neural nets; power engineering computing; power markets; day-ahead electricity price prediction; extreme learning machine; intelligent modeling methods; multiple ELM network; neural network method; Automation; Econometrics; Feedforward neural networks; Joining processes; Machine learning; Neural networks; Power markets; Power system modeling; Predictive models; Statistical analysis; ELM; electricity market; electricity price prediction; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location
Xuzhou
Print_ISBN
978-1-4244-5181-4
Electronic_ISBN
978-1-4244-5182-1
Type
conf
DOI
10.1109/CCDC.2010.5499079
Filename
5499079
Link To Document