• DocumentCode
    3581120
  • Title

    A new short-term load forecasting method based on distance vector method

  • Author

    Zhiwei Liao ; Yanan Chen

  • Author_Institution
    Sch. of Electr. Power, South China Univ. of Technol., Guangzhou, China
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Short-term load forecasting is the basic work for each power system economic dispatch, also, optimal combination unit and optimal power flow is the prerequisite for real-time electricity market trading. This paper presents a new evaluated point weighted method, which is based on distance vector clustering analyzes maximum load and holidays influence. Actual system application results show that the method is effective and practical.
  • Keywords
    load forecasting; power system economics; distance vector clustering method; power system economic dispatch; real-time electricity market; short-term load forecasting method; Accuracy; Clouds; Databases; Load forecasting; Meteorology; Vectors; distance vector; point-to-point weighted mean; short-term load forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2014 IEEE PES Asia-Pacific
  • Type

    conf

  • DOI
    10.1109/APPEEC.2014.7066136
  • Filename
    7066136