Knowledge graph is a kind of semantic network for information retrieval. How to construct a knowledge graph that can serve the power system based on the behavior data of dispatchers is a hot research topic in the area of electric power artificial intelligence. In this paper, we propose a method to construct the dispatch knowledge graph for the power grid. By leveraging on dispatch data from the power domain, this method first extracts entities and then identifies dispatching behavior relationship patterns. More specifically, the method includes three steps. First, we construct a corpus of power dispatching behaviors by semi-automated labeling. And then, we propose a model, called the BiLSTM-CRF model, to extract entities and identify the dispatching behavior relationship patterns. Finally, we construct a knowledge graph of power dispatching data. The knowledge graph provides an underlying knowledge model for automated power dispatching and related services and helps dispatchers perform better power dispatch knowledge retrieval and other operations during the dispatch process.

中文翻译：

---

如何用调度数据构建电力知识图谱？

知识图谱是一种用于信息检索的语义网络。如何基于调度员的行为数据构建服务于电力系统的知识图谱是电力人工智能领域的一个热门研究课题。在本文中，我们提出了一种构建电网调度知识图的方法。该方法利用来自电力域的调度数据，首先提取实体，然后识别调度行为关系模式。更具体地说，该方法包括三个步骤。首先，我们通过半自动标记构建电力调度行为语料库。然后，我们提出了一个模型，称为 BiLSTM-CRF 模型，用于提取实体并识别调度行为关系模式。最后，我们构建了电力调度数据的知识图谱。