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面向电力调度的事件知识图谱研究现状及发展

齐冬莲 闫玮丹 闫云凤 彭继慎 郭炳延

齐冬莲, 闫玮丹, 闫云凤, 彭继慎, 郭炳延. 面向电力调度的事件知识图谱研究现状及发展[J]. 电子与信息学报, 2024, 46(9): 3456-3466. doi: 10.11999/JEIT240167
引用本文: 齐冬莲, 闫玮丹, 闫云凤, 彭继慎, 郭炳延. 面向电力调度的事件知识图谱研究现状及发展[J]. 电子与信息学报, 2024, 46(9): 3456-3466. doi: 10.11999/JEIT240167
QI Donglian, YAN Weidan, YAN Yunfeng, PENG Jishen, GUO Bingyan. A Review of Research Methods on Event Knowledge Graph for Power Dispatching[J]. Journal of Electronics & Information Technology, 2024, 46(9): 3456-3466. doi: 10.11999/JEIT240167
Citation: QI Donglian, YAN Weidan, YAN Yunfeng, PENG Jishen, GUO Bingyan. A Review of Research Methods on Event Knowledge Graph for Power Dispatching[J]. Journal of Electronics & Information Technology, 2024, 46(9): 3456-3466. doi: 10.11999/JEIT240167

面向电力调度的事件知识图谱研究现状及发展

doi: 10.11999/JEIT240167
详细信息
    作者简介:

    齐冬莲:女,教授,研究方向为新型电力系统智能感知、有源配电网控制与防护、集群控制

    闫玮丹:女,博士生,研究方向为知识图谱在电力领域的应用

    闫云凤:女,副研究员,研究方向为电力人工智能,电力安全

    彭继慎:男,教授,研究方向为矿山装备智能化技术、工业生产过程控制与优化

    郭炳延:男,博士生,研究方向为知识图谱与多模态大模型在电力领域的应用

    通讯作者:

    齐冬莲: qidl@zju.edu.cn

  • 中图分类号: TN911.7; TP311

A Review of Research Methods on Event Knowledge Graph for Power Dispatching

  • 摘要: 事件知识图谱(EKG)是一种可学习事件演化规律的特殊知识图谱,具有推理、预测等功能。针对电力调度业务数据量大、模态多、交互耦合等特点,该文详述了面向电力调度的事件知识图谱的数据集构建、主流方法、技术架构、评价指标、适用场景等,重点分析各场景的可行性,并在应用流程、输入输出、技术架构等方面给出方案,最后对其在电力调度业务长期发展面临的难点和可能的研究方向进行了展望。该文研究为研究电力调度领域特点、事件知识图谱优势和两者结合提供了参考,并为事件知识图谱在电力调度领域中的应用方向提供了指导性思路。
  • 图  1  部分电力调度事件知识图谱可视化结果

    图  2  电力调度综合型事件知识图谱示例

    图  3  基于事件知识图谱的逻辑性问答技术架构

    图  4  基于事件知识图谱的电力调度相似事件检索技术架构

    图  5  基于时序信息的案例调度事件预测技术架构

    图  6  传统运行方式制定流程图

    图  7  基于事件知识图谱的运行方式制定流程图

    图  8  基于知识推理的电网运行风险分析技术架构

    表  1  EKG中的典型事件关系类型

    关系类型 关系概念
    因果关系 A事件会导致B事件的发生
    条件关系 条件结果关系,A事件会导致的结果
    互斥关系 真假值逻辑,A事件发生时B事件不可能同时发生
    顺承关系 先后发生逻辑,A事件发生后B事件发生
    组成关系 事件之间整体与部分的关系
    并发关系 事件的共生关系,A事件发生时B事件一定会发生
    时序关系 时间顺序关系,A事件与B事件在时间轴上的关系
    下载: 导出CSV
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出版历程
  • 收稿日期:  2024-03-13
  • 修回日期:  2024-07-16
  • 网络出版日期:  2024-08-02
  • 刊出日期:  2024-09-26

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