Line Loss Rate Forecasting Based on Grey Model and Combination of Neural Network

Fei Xie; Bu Xiang Zhou; Qin Zhang; Long Jiang

doi:10.4028/www.scientific.net/AMR.621.340

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 621Line Loss Rate Forecasting Based on Grey Model and...

Line Loss Rate Forecasting Based on Grey Model and Combination of Neural Network

Abstract:

This thesis is mainly focusing on the research of the method for line loss rate forecast by adopting grey model combined with neural network. Firstly, GM(1,1) model can be used to analyze and calculate line loss rate change trend. The input variables of the neural network could be determined by grey relationship of related factors. Three-Layer BP model for line loss rate forecast is constructed, and then the eventual result can be obtained by using the combined model of GM(1,1) and neural network method. An example is taken to prove the precision improved for line loss rate forecast by the proposed method studied in the thesis.

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Periodical:

Advanced Materials Research (Volume 621)

Pages:

340-343

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.621.340

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Online since:

December 2012

Authors:

Fei Xie, Bu Xiang Zhou, Qin Zhang, Long Jiang

Keywords:

Combined Model, Forecasting, Grey Model, Line Loss Rate, Neural Network (NN)

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