Experiments and Comparison of Digital Twinning of Photovoltaic Panels by Machine Learning Models and A Cyber-Physical Model in Modelica-Reference-Cited by-同舟云学术

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Experiments and Comparison of Digital Twinning of Photovoltaic Panels by Machine Learning Models and A Cyber-Physical Model in Modelica

Published:2021 Issue: Volume: Page:1-1
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Delussu Federico,Manzione Davide,Meo Rosa,Ottino Gabriele,Asare Mark

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/4389054/09525233.pdf?arnumber=9525233

Cited by 25 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. Digital twin enabled transition towards the smart electric vehicle charging infrastructure: A review;Sustainable Cities and Society;2024-08

2. Digital Twin Design Framework for Photovoltaic Generation Systems Using FMU and Modelica;2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON);2024-06-25

3. Research on the construction method of virtual mapping digital twin system for substation;Journal of Physics: Conference Series;2024-06-01

4. Research on deep learning rolling bearing fault diagnosis driven by high-fidelity digital twins;International Journal on Interactive Design and Manufacturing (IJIDeM);2024-05-14

5. Digital Twins and 5G: Unlocking the Potential in the Energy Sector;2024 23rd International Symposium INFOTEH-JAHORINA (INFOTEH);2024-03-20

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