Evaluation of the development trend of industrial electric power consumption based on analytic hierarchy process and principal component analysis

罗慧; 李艺丰; 王蓓蓓

doi:10.3969/j.issn.1009-1831.2017.01.005

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Evaluation of the development trend of industrial electric power consumption based on analytic hierarchy process and principal component analysis

更新时间：2026-03-05

- Evaluation of the development trend of industrial electric power consumption based on analytic hierarchy process and principal component analysis
- Vol. 19, Issue 1, (2017)
- 作者机构：
  
  1. 江苏省电力公司,南京,210024
  2. 东南大学,南京,210096
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2017.01.005
  CLC：
- Published：2017
- 稿件说明：
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罗慧, 李艺丰, 王蓓蓓. Evaluation of the development trend of industrial electric power consumption based on analytic hierarchy process and principal component analysis[J]. 2017, 19(1).
DOI：

罗慧, 李艺丰, 王蓓蓓. Evaluation of the development trend of industrial electric power consumption based on analytic hierarchy process and principal component analysis[J]. 2017, 19(1). DOI： 10.3969/j.issn.1009-1831.2017.01.005.

摘要

主成分分析方法和层次分析法结合引入行业发展评价分析中。首先综合众多经济电力指标，基于主成分分析模型来分析行业月度景气程度，了解行业用电现状。其次，运用层次分析模型建立了行业权重评价指标体系，从而确立行业权重，用来评价一定时间阶段下工业整体的发展态势。最后结合上述分析，为得到工业整体及各个行业在某一阶段的发展态势，建立了行业多月综合景气度、工业综合景气度以及行业类型划分规则，对不同行业的不同发展态势进行归类，为未来的产业调整、节能减排、发展规划等相关决策提供依据。

Abstract

This article will introduce principal components analysis and analytic hierarchy process into evaluation of industry development.Firstly

integrated numerous indicators

the principal component analysis model is used to analyze the monthly prosperity level of industry

which helps to understand the status of electricity.Secondly

analytic hierarchy process is used to build the index system for weight evaluation in industry

which is used to evaluate the developing situation in industry.Finally

in purpose of getting development situation of industry and the all industrial sectors

the prosperity level of industry in months

industrial integrated prosperity degrees and divided rules on industry types are built up.Results of this paper can be used for future industrial restructuring

energy conservation

development planning to provide decision making basis.

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