Guest Editorial Big Data Analytics for Grid Modernization

  • Tao Hong
  • , Chen Chen
  • , Jianwei Huang
  • , Ning Lu
  • , Le Xie
  • , Hamidreza Zareipour

Research output: Contribution to journalEditorial

37 Scopus citations

Abstract

Advanced analytics plays a vital role in the era of big data, such as managing smart cities, predicting crime activities, optimizing medicine formula based on genetic defects, detecting financial frauds, and personalizing marketing campaigns. Information extracted from the big data benefits many industries in their day-to-day operations. The deployment of phasor measurement units (PMUs), smart meters and other smart devices has offered engineers the access to a large variety of data at an unprecedented granularity and volume. However, the old data management systems and applications are not designed to handle the big data. Therefore, how to extract actionable information and values out of the big data and how to integrate the information into grid operations and planning to ensure the secure, reliable and economical supply of electricity are becoming increasingly critical.

Original languageEnglish
Article number7548122
Pages (from-to)2395-2396
Number of pages2
JournalIEEE Transactions on Smart Grid
Volume7
Issue number5
DOIs
StatePublished - Sep 2016
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  3. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

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