• DocumentCode
    2707194
  • Title

    Notice of Retraction
    New Load Density Forecasting Method for Objective Network Planning

  • Author

    Sun Zhongliang ; Wang Xiaokan ; Zai Shouxiang ; Wang Lei ; Guo Sanci

  • Author_Institution
    Henan Mech. & Electr. Vocational Group, Zhengzhou, China
  • fYear
    2009
  • fDate
    28-30 Dec. 2009
  • Firstpage
    114
  • Lastpage
    117
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    There are some problems such as various uncertain factors, a lot of spatial data are required, and the vast amount of work in the conventional forecasting methods. So proposed a new load density forecasting method for objective network planning which based on the city´s objective planning identified by the nature of land area that can reduce the uncertainty of land area. Using this method to processing the collected data of the Zhongshan perspective land area and a large number of load information supplied by Zhongshan Power Supply Bureau, which can eliminate the conventional forecasting methods´ uncertainty in line with land area. The uncertainty of land area was locked in each load density, and comparing and anglicizing this forecasting method with the horizontal comparison method, and forecasted the level of forecasting electricity and load spatial distribution forecasting for Zhongshan. The results showed that it significantly reduced the load forecast uncertainty factors and improved the accuracy of load forecasting.
  • Keywords
    load forecasting; power system planning; Zhongshan power supply; electricity forecasting; load density forecasting method; objective network planning; Load forecasting; Micromechanical devices; load density forecasting; objective network planning; saturation analysis; spatial load forecasting; zoning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    MEMS, NANO, and Smart Systems (ICMENS), 2009 Fifth International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-0-7695-3938-6
  • Type

    conf

  • DOI
    10.1109/ICMENS.2009.25
  • Filename
    5489362