Principal component analysis and cluster analysis for development of electrical system

2017 15th International Conference on Quality in Research (QiR) : International Symposium on Electrical and Computer Engineering Pub Date : 2017-07-01 DOI:10.1109/QIR.2017.8168526

Iswan, I. Garniwa

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引用次数: 2

Abstract

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.

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电气系统开发中的主成分分析与聚类分析

本文提出了一种开发电气系统的方法。提出了主成分分析与聚类分析相结合的方法。本研究基于人口总数、地区生产总值(gdp)、工业生产总值、商业生产总值、每个客户的电力和每个部门的能源使用等相关数据。建立该发展概况是为了反映各区域电力系统的发展状况，用于支持未来电力系统空间发展的政策制定。本文以南苏拉威西省24个地区为发展中心点，运用主成分分析法对区域发展概况进行了评价。采用聚类分析方法，根据产生的新变量进行聚类。南苏拉威西省电力系统总体规划可以为电力系统发展的政策制定提供支持。未来将包括增加研究几个变量。

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2017 15th International Conference on Quality in Research (QiR) : International Symposium on Electrical and Computer Engineering

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