Work

FDI Attacks Detection and Reliable Prediction for Lithium-Ion Battery Based on Encrypted Koopman Prediction Method

Year: 2024

Type: conference-paper

Source: China Automation Congress (CAC)

DOI: 10.1109/cac63892.2024.10865656

Authors: Zhengce Liu, Chengzhi Liu, Jie Liu, Kezhen Han, Zi-Peng Wang

Institutions: University of Jinan, Beijing University of Technology

Language: English

Topic: Smart Grid Security and Resilience

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Shandong Province

Awards: G4816889838, G5607207065, G6078170400

OpenAlex ID: W4407477603

FWCI: 0.689

Cites: 20

Cited by: 1

Related to: 10