• DocumentCode
    2854253
  • Title

    WattDepot: An Open Source Software Ecosystem for Enterprise-Scale Energy Data Collection, Storage, Analysis, and Visualization

  • Author

    Brewer, Robert S. ; Johnson, Philip M.

  • Author_Institution
    Dept. of Inf. & Comput. Sci., Univ. of Hawai ´´i at Manoa, Honolulu, HI, USA
  • fYear
    2010
  • fDate
    4-6 Oct. 2010
  • Firstpage
    91
  • Lastpage
    95
  • Abstract
    WattDepot is an open source, Internet-based, service-oriented framework for collection, storage, analysis, and visualization of energy data. WattDepot differs from other energy management solutions in one or more of the following ways: it is not tied to any specific metering technology; it provides high-level support for meter aggregation and data interpolation; it supports carbon intensity analysis; it is architecturally decoupled from the underlying storage technology; it supports both hosted and local energy services; it can provide near-real time data collection and feedback; and the software is open source and freely available. In this paper, we introduce the framework, provide examples of its use, and discuss its application to research and understanding of the Smart Grid.
  • Keywords
    Internet; data analysis; data visualisation; power engineering computing; public domain software; smart power grids; software architecture; WattDepot; carbon intensity analysis; data analysis; data interpolation; data storage; data visualization; energy management solution; enterprise scale energy data collection; local energy services; meter aggregation; near real time data collection; open source Internet based service oriented framework; open source software ecosystem; smart grid; underlying storage technology; Biological system modeling; Buildings; Data visualization; Interpolation; Sensors; Servers; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Communications (SmartGridComm), 2010 First IEEE International Conference on
  • Conference_Location
    Gaithersburg, MD
  • Print_ISBN
    978-1-4244-6510-1
  • Type

    conf

  • DOI
    10.1109/SMARTGRID.2010.5622023
  • Filename
    5622023