• DocumentCode
    665247
  • Title

    Advanced analytics for harnessing the power of smart meter big data

  • Author

    Alahakoon, D. ; Xinghuo Yu

  • Author_Institution
    Sch. of Inf. & Bus. Analytics, Deakin Univ., Warum Ponds, VIC, Australia
  • fYear
    2013
  • fDate
    14-14 Nov. 2013
  • Firstpage
    40
  • Lastpage
    45
  • Abstract
    Smart meters or advanced metering infrastructure (AMI) are being deployed in many countries around the world. Smart meters are the basic building block of the smart grid and governments have invested vast amounts in smart meter deployment targeting wide economic, social and environmental benefits. The key functionality of the smart meter is the capture and transfer of data relating to the consumption (electricity, gas) and events such as power quality and meter status. Such capability has also resulted in the generation of an unprecedented data volume, speed of collection and complexity, which has resulted in the so called big data challenge. To realize the hidden value and power in such data, it is important to use the appropriate tools and technology which are currently being called advanced analytics. In this paper we define a smart metering landscape and discuss different technologies available for harnessing the smart meter captured data. Main limitations and challenges with existing techniques with big data are also highlighted and several future directions in smart metering are presented.
  • Keywords
    Big Data; data analysis; power consumption; power engineering computing; smart meters; smart power grids; AMI; advanced analytics; advanced metering infrastructure; data capturing; electricity consumption; gas consumption; power harnessing; power quality; smart grid; smart meter Big Data; Data handling; Data storage systems; Electricity; Information management; Real-time systems; Smart grids; Advanced Metering Infrastructure (AMI); Analytics; Big Data; Data Mining; Smart Meters; Stream Analytics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Energy Systems (IWIES), 2013 IEEE International Workshop on
  • Conference_Location
    Vienna
  • Type

    conf

  • DOI
    10.1109/IWIES.2013.6698559
  • Filename
    6698559