• DocumentCode
    237632
  • Title

    Analysis and comparison of various methods available for load forecasting: An overview

  • Author

    Khatoon, Shahida ; Ibraheem ; Singh, A.K. ; Priti

  • Author_Institution
    Dept. of Electr. Eng., Jamia Miilia Islamia, New Delhi, India
  • fYear
    2014
  • fDate
    28-29 Nov. 2014
  • Firstpage
    243
  • Lastpage
    247
  • Abstract
    Accurate load forecasting is essential for power system planning and operation. As the electricity end uses expand, load forecasting technique becomes more complicated. Depending on the nature of load variations, one particular method may not be suitable in each case. Before choosing a particular method, an overview of different techniques is required. This paper presents the analysis of various techniques for load forecasting. A comparative analysis is presented to understand the performance of each technique. None of them is found to be perfect alone; the trend is towards hybrid models.
  • Keywords
    load forecasting; power system planning; accurate load forecasting; load variations; power system operation; power system planning; Artificial neural networks; Biological system modeling; Forecasting; Load forecasting; Load modeling; Market research; Predictive models; load forecasting; long term load forecast; short term load forecast;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), 2014 Innovative Applications of
  • Conference_Location
    Ghaziabad
  • Type

    conf

  • DOI
    10.1109/CIPECH.2014.7019112
  • Filename
    7019112