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A novel online detection method of data injection attack against dynamic state estimation in smart grid

  • Published:2019-06 Issue: Volume:344 Page:73-81
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Chen Rui,Li Xue,Zhong Huixin,Fei Minrui

Funder

National Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference40 articles.

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1. Research on Bad Data Detection in Power Grid Based on Improved Algorithm;2024 2nd International Conference on Pattern Recognition, Machine Vision and Intelligent Algorithms (PRMVIA);2024-05-24

2. Deep learning for intelligent demand response and smart grids: A comprehensive survey;Computer Science Review;2024-02

3. Cybersecurity Defence of Synchrophasors in Distribution Systems: A Deep Learning Approach;2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG);2023-12-03

4. Bad-Data-Resilient Dynamic State Estimation for Power Systems with Partially Known Models;2023 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia);2023-11-21

5. A review on distribution system state estimation uncertainty issues using deep learning approaches;Renewable and Sustainable Energy Reviews;2023-11
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