NDLI: Day-ahead electricity price prediction based on multiple ELM

Content Provider	IEEE Xplore Digital Library
Author	Huixin Tian Bo Meng ShuZhou Wang
Copyright Year	2010
Description	Author affiliation: School of Electrical Engineering and Automation, Tianjin Polytechnic University, 300160, China (Huixin Tian; Bo Meng; ShuZhou Wang)
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.
Starting Page	241
Ending Page	244
File Size	177360
Page Count	4
File Format	PDF
ISBN	9781424451814
DOI	10.1109/CCDC.2010.5499079
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	electricity price prediction Automation Statistical analysis electricity market ELM Predictive models Feedforward neural networks Power system modeling neural network Neural networks Machine learning Power markets Econometrics Joining processes
Content Type	Text
Resource Type	Article

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