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首页> 外文会议>2017 15th International Conference on Quality in Research : International Symposium on Electrical and Computer Engineering >Principal component analysis and cluster analysis for development of electrical system
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Principal component analysis and cluster analysis for development of electrical system

机译：电力系统开发的主成分分析和聚类分析

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This paper proposes an approach for development of electrical system. The proposed approach is combination of principal component analysis (PCA) and cluster analysis. This research based on relevant data of total population, gross domestic regional product (GDRP), GDRP of industry, GDRP of business, electric power each customer and energy used for each sector. This development profile is set up to show the condition of electrical system of each region, that will be used to support policy development electrical system of spatial development in the future. This paper considers 24 regions in South Sulawesi province as development center points and use principal component analysis (PCA) to assess the regional profile for development. Cluster analysis is used to group these region into clusters according to the new variable produced PCA. The general planning of electrical system of South Sulawesi province can provide support for policy making of electrical system development. The future will include add on research several variables.
机译：本文提出了一种开发电气系统的方法。所提出的方法是主成分分析（PCA）和聚类分析的组合。这项研究基于总人口，国内生产总值（GDRP），工业GDRP，企业GDRP，每个客户的电力以及每个部门使用的能源的相关数据。建立该发展概况是为了显示每个地区的电气系统状况，将用于支持未来空间发展的政策制定电气系统。本文将南苏拉威西省的24个地区视为发展中心，并使用主成分分析（PCA）来评估该地区的发展概况。聚类分析用于根据新变量产生的PCA将这些区域分组为聚类。南苏拉威西省电力系统总体规划可以为电力系统发展的决策提供支持。未来将包括研究几个变量。

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