Study on Data Integration Methods of Power Grid Planning Based on QlikView

QU Shaoqing; LONG Hui; WANG Peng; ZHANG Chao; LIU Ming; WEI Meng

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Study on Data Integration Methods of Power Grid Planning Based on QlikView

更新时间：2025-11-18

- Study on Data Integration Methods of Power Grid Planning Based on QlikView
- Vol. 37, Issue 4, Pages: 12-14(2017)
- 作者机构：
  
  国网湖南省电力公司长沙供电分公司
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM715
- Published：2017
- 稿件说明：
移动端阅览
[1]屈少青,隆辉,王鹏,张超,柳明,韦朦.基于QlikView的电网规划数据集成方法研究[J].湖南电力,2017,37(04):12-14.

QU Shaoqing, LONG Hui, WANG Peng, et al. Study on Data Integration Methods of Power Grid Planning Based on QlikView[J]. 2017, 37(4): 12-14.
[1]屈少青,隆辉,王鹏,张超,柳明,韦朦.基于QlikView的电网规划数据集成方法研究[J].湖南电力,2017,37(04):12-14. DOI：

QU Shaoqing, LONG Hui, WANG Peng, et al. Study on Data Integration Methods of Power Grid Planning Based on QlikView[J]. 2017, 37(4): 12-14. DOI：

摘要

针对当前电网规划工作对于电网数据进行快速建模、多维度钻取分析、高度直觉化的实际需求

提出了基于QlikView的电网规划数据集成方法

并结合实际工作对研究成果进行了验证。实例分析表明

所提出的数据集成方法具有较好的适应性

能根据实际工作需要灵活地进行可视化分析。

Abstract

In allusion to the actual demand for the rapid modeling

multi-dimensional drill analysis and highly visualization of power grid data in current power grid planning

this paper proposes a data integration method of power grid planning based on Qlik View

and the research result is verified by combing actual work. Example analysis shows that the proposed data intergration method has good adaptability

and it can help to perform visual analysis based on actual work.

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Research and design of distributed data integration and management for electric energy information

Research on distribution network graph and data integration application method

Related Author

WANG Qi1

CUI Sha-ning2

LI Xi3

CHEN Cheng

PENG Ze

QU Shao-qing

Related Institution

School of Information Science and Engineering,Central South University

China Electric Power Research Institute

Hunan Electric Power Test & Research Institute

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