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March 3, 2026Journal of Electrical Engineering and Technology0 citations

Detection and Mitigation of Load Redistribution Attacks in Power Distribution Systems Using Machine Learning

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YQYoujun QiQinhuangdao Second HospitalTCTianren ChaQinhuangdao Second HospitalSZSuyan ZhangQinhuangdao Science and Technology Bureau

Key Points

  • Mitigation techniques for load redistribution attacks effectively protect power distribution systems.
  • The model achieves a detection accuracy of 95% during simulated attack scenarios.
  • Analysis of machine learning algorithms reveals their potential for intrusion detection in energy grids.
  • Implementation could significantly enhance the resilience and security of electrical systems against cyber threats.
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Cite This Study

Qi et al. (2026) studied this question.

synapsesocial.com/papers/69a75c61c6e9836116a25368https://doi.org/10.1007/s42835-026-02583-5
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