|Table of Contents|

Interactive Power Data Visualization and Analytics(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2019年03期
Page:
96-16
Research Field:
·全国机器学习会议论文专栏·
Publishing date:

Info

Title:
Interactive Power Data Visualization and Analytics
Author(s):
Fang Sitong; Wang Lijun; Gao Min; Qian Rongtao; Chen Xueyi; Shen Liming; Zhang Lidan; Liu Richeng; Wang Qiong
School of Computer Science and Technology,Nanjing Normal University,Nanjing 210023,China
Keywords:
power data visualization; visual analytics; interactive exploration; comparative visualization
PACS:
TP311
DOI:
10.3969/j.issn.1001-4616.2019.03.013
Abstract:
Power data have the characteristics of time-sequence,heterogeneity and high-dimension,while the parallel visualization method universally used in the analysis of power data lacks of both spatial coordination and visual intuition. In view of these properties and limitations of traditional methods,an interactive visualization method is designed for power data comparison. This method makes use of the technology of superposition and explicit encoding comparison visualization to compare and analyze multi-day sample data in a carefully designed circular layout,avoiding visual confusion,improving the effect of multi-view comparison,making the process of data analysis more concise and efficient. In the experimental part,taking the data of GDP,electricity consumption and weather data of 43 enterprises or shopping malls in a province of China as examples,this paper validates the method we presented and compares it with the traditional method. The result indicates that the proposed method is more intuitive and flexible in data analysis.

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Last Update: 2019-09-30