IDEAS home Printed from https://ideas.repec.org/a/bpj/jossai/v3y2015i5p421-433n4.html
   My bibliography  Save this article

A Method of Power Supply Mode Selection for Urban Distribution Network Planning Based on Association Rules

Author

Listed:
  • Li Cunbin
  • Li Shuke
  • Liu Yunqi

    (School of Economics and Management, North China Electric Power University, Beijing102206, China)

Abstract

Based on association rules, this article proposed a method for intelligent recommendation of power supply mode, which helps decision-makers in the selection of many schemes. Firstly, a history database which includes the forecasting models and correlative factors was first built and association rule mining was conducted; then combined with the correlative factors in the designated area, the criteria matching in the rules mined were carried out with CBR technique; finally automatic recommendation of the power supply modes was achieved under the given conditions. By application of an example, it is demonstrated that the proposed method can not only automatically analyze the applicability of power supply modes and the intrinsic relationship between correlative factors but also provide, to some extent, theoretical basis for selection of power supply modes and practical utility for urban distribution network planning.

Suggested Citation

  • Li Cunbin & Li Shuke & Liu Yunqi, 2015. "A Method of Power Supply Mode Selection for Urban Distribution Network Planning Based on Association Rules," Journal of Systems Science and Information, De Gruyter, vol. 3(5), pages 421-433, October.
    • Handle: RePEc:bpj:jossai:v:3:y:2015:i:5:p:421-433:n:4
    DOI: 10.1515/JSSI-2015-0421
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/JSSI-2015-0421
    Download Restriction: no
    File URL: https://libkey.io/10.1515/JSSI-2015-0421?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:jossai:v:3:y:2015:i:5:p:421-433:n:4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.