• DocumentCode
    452893
  • Title

    A Probabilistic Approach of Electrical Energy Forecasting

  • Author

    Ahsan, Q. ; Uddin, Moin

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Bangladesh Univ. of Eng. & Technol., Dhaka
  • Volume
    2
  • fYear
    2005
  • fDate
    16-19 May 2005
  • Firstpage
    1070
  • Lastpage
    1074
  • Abstract
    The optimal use of national energy resources requires long term energy forecasting. The consumption of electricity is the most sophisticated form of energy use. It is also one of the major energy consumption sectors. This paper presents a methodology of forecasting long term electrical energy demand. The methodology is based on the forecasting of long term hourly demand. A relationship is developed among the forecasted annual/seasonal average hourly load and the probabilistic laws of load ratios to forecast the hourly load. The proposed methodology is validated by applying it to the power system of Bangladesh Power Development Board
  • Keywords
    energy resources; load forecasting; power consumption; power system planning; probability; electrical energy forecasting; electricity consumption; energy consumption sector; energy use; load ratio forecasting; long term electrical energy demand; national energy resources; probabilistic approach; Energy consumption; Energy resources; Industrial power systems; Load forecasting; Military communication; Power engineering and energy; Power system analysis computing; Power system planning; Random variables; Weather forecasting; National resource planning; electrical energy forecasting; forecasted hourly load; load ratios; power system expansion analysis; probability density functions of load ratios;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
  • Conference_Location
    Ottawa, Ont.
  • Print_ISBN
    0-7803-8879-8
  • Type

    conf

  • DOI
    10.1109/IMTC.2005.1604306
  • Filename
    1604306