Detection and reconstruction of measurements against false data injection and DoS attacks in distribution system state estimation: A deep learning approach
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation
Reference57 articles.
1. A survey on state estimation techniques and challenges in smart distribution systems;Dehghanpour;IEEE Trans. Smart Grid,2019
2. Locational detection of the false data injection attack in a smart grid: A multilabel classification approach;Wang;IEEE Internet Things J.,2020
3. Big data-driven detection of false data injection attacks in smart meters;Ünal;IEEE Access,2021
4. A review of false data injection attacks against modern power systems;Liang;IEEE Trans. Smart Grid,2017
5. Complementarity reformulations for false data injection attacks on PMU-only state estimation;Alexopoulos;Electr. Power Syst. Res.,2020
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2. Towards Resilient and Secure Smart Grids against PMU Adversarial Attacks: A Deep Learning-Based Robust Data Engineering Approach;Electronics;2023-06-06
3. Intensive Data-Driven Model for Real-Time Observability in Low-Voltage Radial DSO Grids;Energies;2023-05-27
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