Research on Energy Digital Twin Quality Model Based on Data Driven-Reference-Cited by-同舟云学术

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Research on Energy Digital Twin Quality Model Based on Data Driven

Published:2022-09-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
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Author:

Shen Ying¹,Li Kangyang²,Xu Zihui²,Wang Zhenzhou²,Ge Jianxin¹

Affiliation:

1. Shanghai Development Center of Computer Software Technology,Shanghai Key Laboratory of Computer Software Testing & Evaluation,Shanghai,China

2. Hebei University of Science and Technology,School of Information Science and Engineering,Shijiazhuang,China

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9927523/9927699/09927836.pdf?arnumber=9927836

Reference20 articles.

1. About The Importance of Autonomy and Digital Twins for the Future of Manufacturing

2. A Dual Blockchain Framework to Enhance Data Trustworthiness in Digital Twin Network

3. A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics

4. Linking data science to lean production: a model to support lean practices;pozzi;International Journal of Production Research,2021

Cited by 3 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 Smart Water Conservancy: Status, Challenges, and Prospects;Water;2024-07-18

2. Digital Twin Models: Functions, Challenges, and Industry Applications;IEEE Journal of Radio Frequency Identification;2024

3. A Multi-Objective Flexible Job Shop Intelligent Scheduling System Based on Soft Dueling Double Deep Q-Networks;2023 35th Chinese Control and Decision Conference (CCDC);2023-05-20

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