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基于PLS的湖南省电力消费影响因素分析
引用本文:胡宗义,汪建均,马超群. 基于PLS的湖南省电力消费影响因素分析[J]. 系统工程, 2006, 24(9): 98-102
作者姓名:胡宗义  汪建均  马超群
作者单位:1. 湖南大学,湖南,长沙,410079
2. 湖南大学,湖南,长沙,410079;湖南工学院,湖南,衡阳,421008
摘    要:
运用现代多元统计技术——偏最小二乘回归PLS.在各影响因素存在多重共线性和样本数据短缺条件下进行了定量分析。本文不仅给出各影响因素对湖南电力消费的重要度指标图,而且确定这些影响因素与湖南电力消费需求之间的定量关系.为湖南电力市场分析提供了理论依据。

关 键 词:偏最小二乘回归  多重共线性  影响因素分析
文章编号:1001-4098(2006)09-0098-05
收稿时间:2006-06-23
修稿时间:2006-06-232006-08-08

Empirical Analysis of Impact Factors of Electricity Power Consumption in Hunan Province Based on PLS
HU Zong-Yi,WANG Jian-Jun,MA Chao-qun. Empirical Analysis of Impact Factors of Electricity Power Consumption in Hunan Province Based on PLS[J]. Systems Engineering, 2006, 24(9): 98-102
Authors:HU Zong-Yi  WANG Jian-Jun  MA Chao-qun
Affiliation:1. Hunan University,Changsha 410079,China; 2. Hunan Institute of Technology,Henyang 421008,China
Abstract:
Applying modern statistical technology-Partial Least-Squares(PLS) regression,and quantity analyzing the(relationship) of Electricity power consumption on the condition of multi-collinearity between multivariable and small sample,the paper not only put forward the graph of variable importance projection about every factor relative to electricity power consumption,but also found the quantity relation of impact factors relative to power consumption,and set the frame of(reference) for electrical market analysis in Hunan Province.
Keywords:Partial Least Squares Regression   Multi-collinearity   Impact Factor Analysis
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