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- W2356895004 abstract "Analysis on different scale of short-term load in distribution network done first in this paper and validate the complex characteristics of short term load,then some single methods of load prediction are used to forecast short term load in the distribution network by means of simulation.Aim at none evident regularity characteristics of short term load in a distribution network,a combine load prediction method based on db4 wavelet is used in this paper.According to this method,history data of short-term load in a distribution network are decomposed and reconstructed by wavelet with the largest scale,so these data are divided into different frequency components.Then,according to the characteristics each components do have,methods of GM(1,1) algorithm and time series and secondary exponential smoothing are used to predict lower and intermediate and higher frequency components respectively.The final forecasting value of short term load is the sum of forecasting value earned by each frequency component.Simulation result of a distribution line indicates that better precision and satisfied result of prediction can be earned by the use of the combine method." @default.
- W2356895004 created "2016-06-24" @default.
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- W2356895004 date "2013-01-01" @default.
- W2356895004 modified "2023-09-24" @default.
- W2356895004 title "A combine method based wavelet for short-term load prediction in distribution network" @default.
- W2356895004 hasPublicationYear "2013" @default.
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