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Introduction

  • Mi Wen
  • , Rongxing Lu
  • , Xiaohui Liang
  • , Jingsheng Lei
  • , Xuemin Sherman Shen
  • Shanghai University of Electric Power
  • Nanyang Technological University
  • Dartmouth College
  • University of Waterloo

Research output: Contribution to journal › Editorial › peer-review

Abstract

Smart grid, envisioned as an indispensable power infrastructure, is featured by real-time and two-way communications. By installing smart meters at users’ houses, the smart grid can collect real-time data about power consumption by residential users. The amount of data generated by smart meters and intelligent sensors in smart grid will experience explosive growth in the next few years. According to a recent report from SBI Energy, the volume of smart grid data that will have to be managed by utilities is going to surge from 10,780 terabytes (TB) in 2010 to over 75,200 TB in 2015. How to query and mine this massive and heterogeneous power system raw data to support decision making and ensure reliability will be very critical for smart grid.

Original languageEnglish
Pages (from-to)1-17
Number of pages17
JournalSpringerBriefs in Computer Science
Volume0
Issue number9783319063546
DOIs
StatePublished - 2014

ASJC Scopus Subject Areas

  • General Computer Science

Keywords

  • Distribution Substation
  • Encrypt Data
  • Neighborhood Area Network
  • Smart Grid
  • Smart Grid System

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