Research on Demand Forecast of Power Grid Emergency Materials Based on CBR Method Improved by Information Update
ID:321 View Protection:ATTENDEE Updated Time:2020-11-11 12:10:29 Hits:146 Poster Presentation

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Abstract
The grid emergency caused by natural disasters has the characteristics of complexity, urgency, and information incompleteness, making it difficult to make emergency material dispatching. Based on the study of historical fault-meteorology-repair statistics of power grids, this paper proposes a CBR (case-based reasoning) method for the demand of emergency materials in power grids, combining intuitionistic fuzzy sets with case-based reasoning, considering meteorological elements, geological elements, and accidents. The characteristic factors are corrected with the information update, the iterative calculation of the prediction process is realized, and the material demand is accurately predicted.The example shows that this method can accurately predict the demand for emergency materials in grid emergencies.
Keywords
case-based reasoning,emergency events,fuzzy information,Information Update
Speaker
Wei Cong
Shandong University

Submission Author
Qingfa Chai Shandong University
Wei Cong Shandong University
Jian Chen Shandong University
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Important Date
  • Conference Date

    Oct 21

    2019

    to

    Oct 24

    2019

  • Oct 13 2019

    Abstract Notification of Acceptance

  • Oct 13 2019

    Draft paper submission deadline

  • Oct 14 2019

    Draft Paper Acceptance Notification

  • Oct 29 2019

    Final Paper Deadline

Organized By
Xi'an Jiaotong University
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