• DocumentCode
    3274083
  • Title

    Data mining software design for wind farms

  • Author

    LiYang Liu ; Junji Wu ; Shaoliang Meng

  • Author_Institution
    Sch. of Energy & Power Eng., Nanjing Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2013
  • fDate
    23-25 May 2013
  • Firstpage
    23
  • Lastpage
    26
  • Abstract
    Recent years has witnessed a rapid development of the wind power industry. It has become a concern for operators as to how to extract valuable information from the massive amount of historical data generated during operation of wind farm. A design plan of data mining software applied in wind farm is proposed in this paper. B/S mode and J2EE framework are adopted, and the software is composed of three layers: data layer, logical layer and presentation layer. The technology used in software development is explained in detail. Data mining algorithms of the software are also introduced, with the focus laid on analytical method of time series. The plan is highly feasible and can be taken as reference to development of data analysis software for wind farms.
  • Keywords
    data mining; power engineering computing; software engineering; time series; wind power plants; B/S mode; J2EE framework; data analysis software; data layer; data mining software design; historical data; logical layer; presentation layer; software development technology; time series analytical method; wind farms; wind power industry; Analytical models; Browsers; Computational modeling; Fluctuations; Software; Wind farms; ARIMA; J2EE; data mining; dynamic time warping; time series; wind farm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4673-4997-0
  • Type

    conf

  • DOI
    10.1109/ICSESS.2013.6615248
  • Filename
    6615248