Line Loss Rate Forecasting Based on Grey Model and Combination of Neural Network-Reference-Cited by-同舟云学术

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

Published:2012-12 Issue: Volume:621 Page:340-343
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Xie Fei¹,Zhou Bu Xiang²,Zhang Qin²,Jiang Long¹

Affiliation:

1. Sichuan Electric Power Corporation

2. Sichuan University

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.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.621.340.pdf

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