• DocumentCode
    584475
  • Title

    Research on Intelligent Power Consumption Business Intelligence System Based on Cloud Computing

  • Author

    Lv, Houlei ; Xie, Yingxin ; Wang, Fengyu ; Cheng, Yanliu

  • Author_Institution
    Energy Efficiency Bus. Dept., Beijing GuoDianTong Network Technol. Co., Ltd., Beijing, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    1541
  • Lastpage
    1546
  • Abstract
    In order to extract valuable knowledge from massive intelligent power consumption data to support decision-making, an intelligent power consumption business intelligence system architecture based on cloud computing technology is proposed in the paper. First, the design principle and architecture of the system are introduced. And then the key techniques and algorithms to mine knowledge from massive data are discussed in detail. Finally, to verify the effectiveness of the system, a parallel multidimensional analysis and parallel data mining practice for intelligent power consumption data is implemented, which shows a good application effect.
  • Keywords
    cloud computing; competitive intelligence; data mining; decision making; decision support systems; energy consumption; parallel processing; software architecture; business intelligence system architecture; cloud computing; decision making support; design principle; intelligent power consumption data; knowledge extraction; parallel data mining; parallel multidimensional analysis; Algorithm design and analysis; Artificial intelligence; Business; Clustering algorithms; Data mining; Power demand; Smart homes; business intelligence; cloud computing; intelligent power consumption; smart community; smart park;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Service System (CSSS), 2012 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0721-5
  • Type

    conf

  • DOI
    10.1109/CSSS.2012.386
  • Filename
    6394625