Research on fusion modeling based on privacy computing technology

Yinghua Song; Qiaoyun Fan

doi:10.1117/12.3004424

25 September 2023 Research on fusion modeling based on privacy computing technology

Yinghua Song, Qiaoyun Fan

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 127882G (2023) https://doi.org/10.1117/12.3004424
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

In order to solve the problem of data islands, the power system needs to integrate data from other industries for crossdomain fusion modeling. This paper focuses on privacy computing technology, combined with the power industry's big data capabilities, and proposes a research method for cross-domain modeling. And practice this method from the three links of privacy computing technology architecture, federated learning fusion modeling, and industry model application, and finally summarize its innovative advantages and value enhancement points.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yinghua Song and Qiaoyun Fan "Research on fusion modeling based on privacy computing technology", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 127882G (25 September 2023); https://doi.org/10.1117/12.3004424

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available