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基于GM(1,1)校正模型的转折性电力负荷特性预测
引用本文:王亚雄,贺文武.基于GM(1,1)校正模型的转折性电力负荷特性预测[J].电工标准与质量,2004,19(3):35-37.
作者姓名:王亚雄  贺文武
作者单位:湖南大学统计学系,湖南大学统计学系 湖南长沙 410079,湖南长沙 410079
摘    要:电力负荷系统是典型的灰色系统,电力负荷特性指标的预测具有直接的经济意义.讨论了当预测对象系统存在转折性变化时,灰色预测校正模型在此方面的有效应用.该模型具有充分利用历史信息而且短期预测精度高的优点.

关 键 词:灰色理论  转折性变化  校正模型  后验差检验

Load Characteristics Forcasting with Turning Point Based on a GM(1,1) Correcting Model
WANG Ya-xiong,HE Wen-wu.Load Characteristics Forcasting with Turning Point Based on a GM(1,1) Correcting Model[J].Journal of Changsha University of Electric Power(Natural Science Edition),2004,19(3):35-37.
Authors:WANG Ya-xiong  HE Wen-wu
Abstract:Electric load system is a typical grey system and the forecast for the inder of electric load characteristics has a directly economical meaning.The application of the grey forecast adjustment-model to electric load is discussed when the system has the turning point. The new model has a advantage of being able to utilize the history information and to make the high precision short-term load forcasting.
Keywords:gregtheory  turning point  adjustment model  posterior-variance-test  
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