Research and Application of Digital Twins Library of Power Facilities Based on Data-Driven

Author:

Yuan Lufeng1,Li Haiyang1,Liu Changnian1,Zhang Wei1,He Xin1,Ren Xilei1,Fan Zhichao1

Affiliation:

1. Beijing China-Power Information Technology Co.,Ltd,Beijing,China

Publisher

IEEE

Reference17 articles.

1. Digital Twin Model of Photovoltaic Power Generation Prediction Based on LSTM and Transfer Learning[J];kaiyu;Power System Technology,2022

2. 3D Power Pipeline System Based on Digital Twin;luodi;Computer Systems & Applications,2022

3. Digital twin early warning method study for overload risk of distribution network with a high proportion of photovoltaic access [J];xiaodong;Power system protection and control,2022

4. Framework Design and Application Prospect for Digital Twins System of Energy Internet[J];pu;Proceedings of the CSEE,0

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Rapid Re-parameterized Convolutional Network for Detection of Electric Power Facilities;2023 9th International Conference on Computer and Communications (ICCC);2023-12-08

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