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影响电力需求预测各因素的客观权重分配方法
引用本文:王茜,王雁凌,张粒子. 影响电力需求预测各因素的客观权重分配方法[J]. 电网技术, 2008, 32(5): 82-86
作者姓名:王茜  王雁凌  张粒子
作者单位:华北电力大学,电气与电子工程学院,北京市,昌平区,102206;华北电力大学,电气与电子工程学院,北京市,昌平区,102206;华北电力大学,电气与电子工程学院,北京市,昌平区,102206
摘    要:确定影响电力需求预测各因素的权重分配是进行电力发展规划需求预测后评价的一项重要内容。针对电力行业五年期需求预测后评价中待评价年个数较少而影响因素较多的特点,文章在一般多因素客观权重分配方法的基础上,提出了加权互信息量的概念,同时引入相对强度熵,得到了一种影响电力需求预测各因素的客观权重分配方法,并通过计算实例证明了该方法的有效性和实用性。

关 键 词:电力需求预测  后评价  模糊聚类分析  租糙集  客观权重
文章编号:1000-3673(2008)05-0082-05
收稿时间:2007-08-24
修稿时间:2007-08-24

An Approach to Allocate Impersonal Weights of Factors Influencing Electric Power Demand Forecasting
WANG Qian,WANG Yan-ling,ZHANG Li-zi. An Approach to Allocate Impersonal Weights of Factors Influencing Electric Power Demand Forecasting[J]. Power System Technology, 2008, 32(5): 82-86
Authors:WANG Qian  WANG Yan-ling  ZHANG Li-zi
Affiliation:School of Electrical and Electronic Engineering,North China Electric Power University,Changping District,Beijing 102206,China
Abstract:It is one of important contents in post-evaluation of electric power demand forecasting for electric power development plan to decide the weights allocation of factors influencing electric power demand forecasting.According to the feature that in the post-evaluation of five-year electric power demand forecasting there are few years to be evaluate while the number of influencing factors is more,on the basis of conventional multi-factor impersonal weights allocation method the authors propose a concept of weighted mutual information and lead in the entropy of relative intensity,thus an approach to allocate impersonal weights of factors influencing electric power demand forecasting is obtained.Case study results show that the proposed approach is effective and practicable.
Keywords:electric power demand forecasting  post-evaluation  fuzzy clustering analysis  rough set  impersonal weight
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