• DocumentCode
    2089705
  • Title

    Design and Implementation of Renewable Energy and Building Integrated Data Analysis Platform

  • Author

    Chen, Peng ; Liu, Jie ; Yu, Chongchong ; Tan, Li

  • Author_Institution
    Sch. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
  • fYear
    2010
  • fDate
    28-31 March 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In recent years, energy and environment issues are becoming more and more serious. As a country like China with largest architectural area in the world, it is especially significant to develop renewable energy in replacing conventional energy and practicing building energy consumption. Nowadays, the renewable energy software cannot analyze data for monitoring and forecasting. Thus, based on Visual studio .NET, this paper presents a design of analysis platform for renewable energy and building integrated data. It´s suitable for monitoring, analysis and prediction of various types of renewable energy resources application in different areas and different type of building integration. In order to provide a reliable base for popularization of renewable energy source application in building construction, key technologies, which include the multi-level system framework, functional modules, database design, and the ARIMA prediction algorithms in this platform, are described.
  • Keywords
    data analysis; database management systems; power engineering computing; renewable energy sources; ARIMA prediction algorithms; database design; energy consumption; functional modules; integrated data analysis platform; multilevel system framework; renewable energy resources application; visual studio NET; Algorithm design and analysis; Application software; Buildings; Data analysis; Databases; Energy consumption; Load forecasting; Modular construction; Monitoring; Renewable energy resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4812-8
  • Electronic_ISBN
    978-1-4244-4813-5
  • Type

    conf

  • DOI
    10.1109/APPEEC.2010.5448288
  • Filename
    5448288