• DocumentCode
    2792465
  • Title

    Prediction of rural electricity consumption based on Grey-Markov model

  • Author

    Zhou, Lihua ; Xie, Daowen

  • Author_Institution
    Lab. Center of Foreign Studies Sch., Hunan Univ. of Sci. & Technol., Xiangtan, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    525
  • Lastpage
    528
  • Abstract
    Along with the rapidly developing rural economy and the change of people´s consumption concept, rural electricity consumption increased rapidly. The scientific prediction for rural electricity consumption is the decision-making basis and guarantee for plan in the next reconstruction of rural distribution network. There are many common prediction methods, which has its own relative merits and disadvantages. In this paper, Grey-Markov model is applied to predict rural electricity consumption. And the result shows that this predictive method has better precision and it is practical. The paper provided a scientific basis for the planned development of rural power system.
  • Keywords
    Markov processes; decision making; distribution networks; grey systems; load forecasting; power consumption; Grey-Markov Model; decision making; rural distribution network; rural economy; rural electricity consumption prediction; rural power system; Analytical models; Data models; Electricity; Forecasting; Markov processes; Mathematical model; Predictive models; GM(1,1) model; GM(1,1)-Markov model; Prediction for rural electricity consumption;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
  • Conference_Location
    Hohhot
  • Print_ISBN
    978-1-4244-9436-1
  • Type

    conf

  • DOI
    10.1109/MACE.2011.5986976
  • Filename
    5986976