• DocumentCode
    3468277
  • Title

    Market share forecast of electricity in city residents’ energy consumption based on Markov theory

  • Author

    Zhou, Hui ; Wang, Yi ; Wang, Wei ; Zhao, Yuan

  • Author_Institution
    Sch. of Electr. Power Eng., Beijing Jiaotong Univ., Beijing
  • fYear
    2008
  • fDate
    6-9 April 2008
  • Firstpage
    274
  • Lastpage
    278
  • Abstract
    It is very necessary to be clear about the market share that electricity accounts for the whole energy consumption of city residents´ under the circumstance of market, with Markov prediction theory and data from Qinhuangdao electricity market investigation, forecast have been done on market share of residential energy consumption items such as heating, cooking, cooling etc., which is valuable reference for electricity company to be realize the prospect of every subdivision marketing in order to make corresponding management strategy.
  • Keywords
    Markov processes; load forecasting; power consumption; power markets; Markov prediction theory; Qinhuangdao electricity market investigation; city residents energy consumption; electricity market share forecast; Cities and towns; Cooling; Economic forecasting; Electricity supply industry; Energy consumption; Energy management; Load forecasting; Marketing management; Prediction theory; Resistance heating; Markov theory; city residents; energy market; market prediction; market share;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
  • Conference_Location
    Nanjuing
  • Print_ISBN
    978-7-900714-13-8
  • Electronic_ISBN
    978-7-900714-13-8
  • Type

    conf

  • DOI
    10.1109/DRPT.2008.4523417
  • Filename
    4523417