Research and Prospect of Cyber-Attacks Prediction Technology for New Power Systems

Author:

Liang Jian1,Zhu Hongyu2,Zhang Bo3,Liu Li1,Liu Xuan3,Lin Hai2,Tian Jianwei2,Chen Qian1

Affiliation:

1. State Grid Hunan Electric Power Co., Ltd,Changsha,China

2. State Grid Hunan Electric Power Company Limited Information and Communication Company,Changsha,China

3. Hunan University,College of Electrical and Information Engineering,Changsha,China

Publisher

IEEE

Reference66 articles.

1. Security situation awareness analysis of power information network under intrusion attack;zhang;ELECTRONIC TECHNOLOGY & SOFTWARE ENGINEERING,2020

2. A Data-Driven Model Predictive Control for Alleviating Thermal Overloads in the Presence of Possible False Data

3. Power information network security situation awareness based on RBF neural network;wu;Techniques of Automation and Applications,2022

4. Forecasting-Aided Imperfect False Data Injection Attacks Against Power System Nonlinear State Estimation

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