The Optimization Selection of Input Variables for Mid-Term Power Load Forecasting Based on Gradually Similar Method

Ji Ping Zhu

doi:10.4028/www.scientific.net/AMM.610.274

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 610The Optimization Selection of Input Variables for...

The Optimization Selection of Input Variables for Mid-Term Power Load Forecasting Based on Gradually Similar Method

Abstract:

Gradually similar method is putted forward in the paper. The rules of selecting the independents are analyzed. And the foundations of that the variable has been permitted to enter to or eliminate from the model are described. The idea is to forecast medium and long term load of shanxi Province with using this method, and reasonable to select the economic indicators having influence on the power load. Then, these economic indicators were screened by the gradually similar method. Gradually similar method new putted forward is used for the optimization selection of the model input variables, and forecasting accuracy is discussed .Simulation results show that the method brought forward is right and feasible.

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Periodical:

Applied Mechanics and Materials (Volume 610)

Pages:

274-278

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.610.274

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Online since:

August 2014

Authors:

Ji Ping Zhu*

Keywords:

Gradually Similar Method, Input Variable, Mid-Term Power Load Forecasting, Optimization Selection

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* - Corresponding Author

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