• DocumentCode
    77462
  • Title

    NilmDB: The Non-Intrusive Load Monitor Database

  • Author

    Paris, James ; Donnal, John S. ; Leeb, Steven B.

  • Author_Institution
    Electr. Eng. & Comput. Sci. Dept., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • Volume
    5
  • Issue
    5
  • fYear
    2014
  • fDate
    Sept. 2014
  • Firstpage
    2459
  • Lastpage
    2467
  • Abstract
    This paper presents NilmDB, a comprehensive framework designed to solve the “big data” problem of non-intrusive load monitoring and diagnostics. It provides the central component of a flexible, distributed architecture for the storage, transfer, manipulation, and analysis of time-series data. NilmDB is network-transparent and facilitates remote viewing and management of large data sets by utilizing efficient data reduction and indexing techniques.
  • Keywords
    data reduction; indexing; power engineering computing; power system measurement; NilmDB network; big data analytics problem; data reduction; distributed architecture; nonintrusive load monitor database; power system monitoring; time series data; Bandwidth; Data mining; Distributed databases; Monitoring; Servers; Vegetation; Big data; intelligent power metering; nonintrusive load monitoring; smart grid;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2014.2321582
  • Filename
    6847241
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=77462