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Digital Twin Framework and Its Application to Power Grid Online Analysis

Mike Zhou Jianfeng Yan Donghao Feng

中国电机工程学会电力与能源系统学报(英文版)2019,Vol.5Issue(3):391-398,8.
中国电机工程学会电力与能源系统学报(英文版)2019,Vol.5Issue(3):391-398,8.DOI:10.17775/CSEEJPES.2018.01460

Digital Twin Framework and Its Application to Power Grid Online Analysis

Digital Twin Framework and Its Application to Power Grid Online Analysis

Mike Zhou 1Jianfeng Yan 1Donghao Feng2

作者信息

  • 1. China Electric Power Research Institute, Beijing 100085, China
  • 2. Kedong Electric Power Control System Co., Ltd., Beijing China
  • 折叠

摘要

关键词

Complex event processing/digital twin/in-memory computing/machine learning/neural network model/parallel computing/power grid online analysis

Key words

Complex event processing/digital twin/in-memory computing/machine learning/neural network model/parallel computing/power grid online analysis

引用本文复制引用

Mike Zhou,Jianfeng Yan,Donghao Feng..Digital Twin Framework and Its Application to Power Grid Online Analysis[J].中国电机工程学会电力与能源系统学报(英文版),2019,5(3):391-398,8.

基金项目

This work was supported by National Natural Science Foundation of China under the Grant U1766214. ()

中国电机工程学会电力与能源系统学报(英文版)

OACSCDCSTPCDSCI

2096-0042

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