• DocumentCode
    2048917
  • Title

    Load forecasting techniques and methodologies: A review

  • Author

    Singh, A.K. ; Ibraheem, I. ; Khatoon, Shahida ; Muazzam, M. ; Chaturvedi, D.K.

  • Author_Institution
    Dept. of Electr. Eng., Jamia Millia Islamia, New Delhi, India
  • fYear
    2012
  • fDate
    17-19 Dec. 2012
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    Electricity demand forecasts are extremely important for energy suppliers and other participants in electric energy generation, transmission, distribution and markets. Accurate models for electric power load forecasting are essential to the operation and planning of a utility company. Load forecasts are extremely important for energy suppliers and other participants in electric energy generation, transmission, distribution and markets. This paper presents a review of electricity demand forecasting techniques. The various types of methodologies and models are included in the literature. Load forecasting can be broadly divided into three categories: short-term forecasts which are usually from one hour to one week, medium forecasts which are usually from a week to a year, and long-term forecasts which are longer than a year. Based on the various types of studies presented in these papers, the load forecasting techniques may be presented in three major groups: Traditional Forecasting technique, Modified Traditional Technique and Soft Computing Technique.
  • Keywords
    fuzzy logic; load forecasting; neural nets; power engineering computing; electric energy distribution; electric energy generation; electric energy transmission; electric markets; electric power load forecasting; electricity demand forecasting techniques; energy suppliers; load forecasting techniques; medium forecasts; modified traditional technique; short-term forecasts; soft computing technique; traditional forecasting technique; utility company operation; utility company planning; Electricity Demand; Forecasting Techniques; Load Forecasting; Regression method; SVM; Soft Computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power, Control and Embedded Systems (ICPCES), 2012 2nd International Conference on
  • Conference_Location
    Allahabad
  • Print_ISBN
    978-1-4673-1047-5
  • Type

    conf

  • DOI
    10.1109/ICPCES.2012.6508132
  • Filename
    6508132