Work

IDAT: An Impact-Driven Adaptive Threshold for Detecting False Data Injection Attacks on Wind Turbines

Year: 2026

Type: article

Source: IEEE Transactions on Smart Grid

DOI: 10.1109/tsg.2026.3653113

Authors: Yitian Zhou, Ruilong Deng, Qiliang Jiang, Haoming Liu, Shiyi Zhao

Institutions: State Key Laboratory of Industrial Control Technology, Zhejiang University

Language: English

Topic: Smart Grid Security and Resilience

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, State Key Laboratory of Industrial Control Technology, Fundamental Research Funds for the Central Universities

Awards: G1013764773, G3528308094, G3545694276, G4144590444, G4647544079, G6147820277, G6442699438, G698852458

OpenAlex ID: W7123349841

FWCI: 3.233

Cites: 41

Cited by: 2

Related to: 10