• DocumentCode
    1717583
  • Title

    Use of the “ANAPRO” software to analyze and forecast operating parameters and technological characteristics on the basis of macro applications

  • Author

    Kurbatsky, V.G. ; Tomin, N.V.

  • Author_Institution
    Dept. of Electr. Power Syst., Energy Syst. Inst., Irkutsk, Russia
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    A progressive trend in creating advanced specialized software packages for processing considerable information arrays, identifying and classifying states and parameters is related to the integration of different artificial intelligence technologies which aims to combine their best features. The paper presents the intelligent ANAPRO software. It implements approaches to the analysis and forecasting of state parameters and process characteristics in the electric networks on the basis of modern methods of nonlinear data analysis and artificial intelligence technologies. The findings of experimental studies are given for different sections of electric network in East Siberia on the basis of the proposed ANAPRO software.
  • Keywords
    artificial intelligence; load forecasting; power engineering computing; power system state estimation; East Siberia; advanced specialized software packages; artificial intelligence technologies; electric networks; forecast operating parameters; information arrays; intelligent ANAPRO software; nonlinear data analysis; process characteristics; state parameters; technological characteristics; Algorithm design and analysis; Application software; Artificial intelligence; Data analysis; Data visualization; Independent component analysis; Load flow; Principal component analysis; Software packages; Technology forecasting; analysis; artificial intelligence technologies; forecasting; macro; process characteristics; software package;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2009 IEEE Bucharest
  • Conference_Location
    Bucharest
  • Print_ISBN
    978-1-4244-2234-0
  • Electronic_ISBN
    978-1-4244-2235-7
  • Type

    conf

  • DOI
    10.1109/PTC.2009.5281905
  • Filename
    5281905