Smart grid data mining and visualization

Yingyao Zhou, Ping Li, Yuning Xiao, Anum Masood, Qichen Yu, Bin Sheng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

6 Citations (Scopus)

Abstract

The power industry innovation has increasingly become a top concern for current reforms. Power systems feature scattered data storage, incapable data analysis ability, poor computing capability, and ineffective interaction interface. To resolve these issues, we need multiple data mining techniques to extract information for analytical capacity improvement. Secondly, we need visualization techniques to analyze and optimize interaction. Lastly, we need distributed technologies for unified data management to increase computing capability and system scalability. Considering China's smart grid information, this paper proposes solutions to problems, such as the existing underdeveloped power management systems, a lack of automation methods, low data visualization, and poor data management. The electric power industry has functional requirements for this research. Based on existing data mining, visualization and understanding of distributed technologies, we discussed the functions of each part of the implementation in a smart grid management system: the data mining module, visualization module and data management module.

Original languageEnglish
Title of host publicationPIC 2016 - Proceedings of the 2016 IEEE International Conference on Progress in Informatics and Computing
EditorsYinglin Wang, Yaoru Sun
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages536-540
Number of pages5
ISBN (Electronic)9781509034833
DOIs
Publication statusPublished - 15 Jun 2017
Externally publishedYes
Event4th IEEE International Conference on Progress in Informatics and Computing, PIC 2016 - Shanghai, China
Duration: 23 Dec 201625 Dec 2016

Publication series

NamePIC 2016 - Proceedings of the 2016 IEEE International Conference on Progress in Informatics and Computing

Conference

Conference4th IEEE International Conference on Progress in Informatics and Computing, PIC 2016
Country/TerritoryChina
CityShanghai
Period23/12/1625/12/16

Keywords

  • Data mining
  • Distributed computing
  • Geographic information systems
  • Smart grid
  • Visualization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Health Informatics

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