The Research Based on RBF Neural Network in the Power of Prediction of Grain Depot

Le Xiao; Min Peng Hu

doi:10.4028/www.scientific.net/AMM.182-183.1358

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 182-183The Research Based on RBF Neural Network in the...

The Research Based on RBF Neural Network in the Power of Prediction of Grain Depot

Abstract:

According to the fact that the use of electricity in grain depot is nonlinear time series, the article introduces the prediction model of electricity based on Radial Basis Function Neural Network, and conducts the modeling and prediction by adopting the historical electricity consumption of a typical grain depot. As the result of simulation shows, the model obtains better forecasting results in grain depot electricity.

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Periodical:

Applied Mechanics and Materials (Volumes 182-183)

Pages:

1358-1361

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.182-183.1358

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Online since:

June 2012

Authors:

Le Xiao, Min Peng Hu

Keywords:

Grain Depot, Power Load Forecasting, RBF Neural Network, Time Series

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References

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