• DocumentCode
    2485248
  • Title

    Study on Power Energy Consumption Model for Large-Scale Public Building

  • Author

    Ma, Yuan ; Yu, Jun-Qi ; Yang, Chuang-Ye ; Wang, Lei

  • Author_Institution
    Sch. of Inf. & Control Eng., Xi´´an Univ. of Archit. & Technol., Xi´´an, China
  • fYear
    2010
  • fDate
    22-23 May 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Through the analysis of the relevant power energy consumption factors of the large-scale public buildings, the integrated model based on multiple linear regression and self-regression methods is attained, of which the least square algorithm is chosen to make parameters estimation. -test and -test are applied to verify its availability. After power consumption data of large-scale public buildings acquired in Xi´an city, Simulation process is operated by Matlab software. The result reveals that the model above has high accuracy to describe and predict trend of power consumption in the large-scale public buildings quantitatively, meanwhile, it provides an essential part to future energy saving management system.
  • Keywords
    building management systems; least squares approximations; parameter estimation; power consumption; regression analysis; Matlab software; energy saving management system; large-scale public building; least square algorithm; multiple linear regression; parameters estimation; power energy consumption model; self- regression methods; Algorithm design and analysis; Availability; Cities and towns; Energy consumption; Large scale integration; Large-scale systems; Least squares approximation; Linear regression; Mathematical model; Parameter estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5872-1
  • Electronic_ISBN
    978-1-4244-5874-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2010.5473608
  • Filename
    5473608