The Short-Term Load Forecasting Model Based on Improved Gene Expression Programming Arithmetic

Yan Mei Li; Jing Min Wang

doi:10.4028/www.scientific.net/AMR.219-220.1395

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 219-220The Short-Term Load Forecasting Model Based on...

The Short-Term Load Forecasting Model Based on Improved Gene Expression Programming Arithmetic

Abstract:

Applying the improved gene expression programming arithmetic to optimization plan,the convergence rate and precision of the model can be improved,which can be used to load forecasting. Preprocessing the load sample data,and applying the flexible skills of the improved gene expression programming arithmetic ,the paper forecasts the whole point load of future short-term to see the same point load sequence of different work-day as sample.Through a case analysis,the improved gene expression programming arithmetic has been proved to have more efficiency and faster convergence rate than optimization methods.

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Periodical:

Advanced Materials Research (Volumes 219-220)

Pages:

1395-1398

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.219-220.1395

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Online since:

March 2011

Authors:

Yan Mei Li, Jing Min Wang

Keywords:

Gene Expression Propramming, Load Forecasting, Mutation Operator

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References

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