Towards Graph Machine Learning for Smart Grid Knowledge Graphs in Industrial Scenarios

2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)(2021)

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摘要
Knowledge Graphs (KGs) demonstrated promising application perspective in different scenarios, especially when combined with Graph Machine Learning (GML) techniques able to interpret and infer over facts. Given the natural network structures of Smart Grid equipment and the exponential growth of electric power data, Smart Grid Knowledge Graphs (SGKGs) provides unprecedented opportunities to manage m...
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关键词
Knowledge engineering,Industries,Semantics,Machine learning,Smart grids,Power systems,Common Information Model (electricity)
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