Knowledge graph-based real-time reliable credit management system for virtual power plant users

Zhiwen Yu; Linlin Hu; Renwei Cao; Xiyuyan Ma; Zihao Zhang

doi:10.1117/12.3004530

25 September 2023 Knowledge graph-based real-time reliable credit management system for virtual power plant users

Zhiwen Yu, Linlin Hu, Renwei Cao, Xiyuyan Ma, Zihao Zhang

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 127884U (2023) https://doi.org/10.1117/12.3004530
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

This paper proposes a user credit management system based on knowledge graph for virtual power plants (VPP), which allows the VPP operators to set up a VPP user credit evaluation model with many useful functionalities, such as analyzing and evaluating user credit, realizing secure data transmission and multi-dimensional, accuracy, and real-time evaluation. Furthermore, it selects the optimal set of users to participate in the system and manages the user credit blacklist. Our analysis shows that it is both flexible and reliable.

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

Citation Download Citation

Zhiwen Yu, Linlin Hu, Renwei Cao, Xiyuyan Ma, and Zihao Zhang "Knowledge graph-based real-time reliable credit management system for virtual power plant users", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 127884U (25 September 2023); https://doi.org/10.1117/12.3004530

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