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Collective Entity Alignment for Knowledge Fusion of Power Grid Dispatching Knowledge Graphs

Linyao Yang Chen Lv Xiao Wang Ji Qiao Weiping Ding Jun Zhang Fei-Yue Wang

自动化学报（英文版）2022，Vol.9Issue(11)：1990-2004,15.

自动化学报（英文版）2022，Vol.9Issue(11)：1990-2004,15.DOI:10.1109/JAS.2022.105947

Collective Entity Alignment for Knowledge Fusion of Power Grid Dispatching Knowledge Graphs

Linyao Yang ¹Chen Lv ²Xiao Wang ³Ji Qiao ¹Weiping Ding ⁴Jun Zhang ³Fei-Yue Wang⁵

作者信息

1. State Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190
2. School of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing 100049,China
3. China Electric Power Research Institute,Beijing 100192,China
4. Qingdao Academy of Intelligent Industries,Qingdao 256200,China
5. School of Information Science and Technology,Nantong University,Nantong 226019,China
折叠

摘要

关键词

Entity alignment/integer programming (IP)/knowl-edge fusion/knowledge graph embedding/power dispatch

Key words

Entity alignment/integer programming (IP)/knowl-edge fusion/knowledge graph embedding/power dispatch

引用本文复制引用

Linyao Yang,Chen Lv,Xiao Wang,Ji Qiao,Weiping Ding,Jun Zhang,Fei-Yue Wang..Collective Entity Alignment for Knowledge Fusion of Power Grid Dispatching Knowledge Graphs[J].自动化学报（英文版）,2022,9(11):1990-2004,15.

基金项目

This work was supported by the National Key R&D Program of China(2018AAA0101502)and the Science and Technology Project of SGCC(State Grid Corporation of China):Fundamental Theory of Human-in-the-Loop Hybrid-Augmented Intelligence for Power Grid Dispatch and Control. （2018AAA0101502）

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