Survey of machine learning methods for detecting false data injection attacks in power systems
Over the last decade, the number of cyber attacks targeting power systems and causing
physical and economic damages has increased rapidly. Among them, false data injection …
physical and economic damages has increased rapidly. Among them, false data injection …
Optimal false data injection attacks against power system frequency stability
The automatic generation control (AGC) is one of the core control systems in power grids
that regulate frequency within the permissible range. However, its dependence on …
that regulate frequency within the permissible range. However, its dependence on …
[PDF][PDF] Football match prediction with tree based model classification
This paper presents the football match prediction using a tree-based model algorithm (C5. 0,
Random Forest, and Extreme Gradient Boosting). Backward wrapper model was applied as …
Random Forest, and Extreme Gradient Boosting). Backward wrapper model was applied as …
An improved TPM-based distribution network state estimation considering loads/DERs correlations
This paper proposes an improved probabilistic load and distributed energy resources
(DERs) modeling as pseudo-measurements by considering the correlation to be used for …
(DERs) modeling as pseudo-measurements by considering the correlation to be used for …
Analyzing Financial Implications and Optimal Bus Selection Strategies for False Data Injection Attacks in Power Grids
K Singh - Electric Power Systems Research, 2025 - Elsevier
Rapid digitization of power systems has brought about new vulnerabilities to cyber threats,
where False Data Injection (FDI) attacks are emerging as a significant concern. These …
where False Data Injection (FDI) attacks are emerging as a significant concern. These …
An Embedded Consensus ADMM Distribution Algorithm Based on Outer Approximation for Improved Robust State Estimation of Networked Microgrids
Z Zhang, Y Ju - Journal of Modern Power Systems and Clean …, 2024 - ieeexplore.ieee.org
Networked microgrids (NMGs) are critical in the absorption of distributed renewable energy.
However, the existing centralized state estimation (SE) cannot meet the needs of NMGs in …
However, the existing centralized state estimation (SE) cannot meet the needs of NMGs in …
A novel strategy for economic management of distribution networks in bilateral energy markets contemplating electrical storage, thermal generations and distributed …
This study is presented a novel policy for management of hour-ahead active and reactive
market considering privatization of Distributed generations (DG). The studied network in this …
market considering privatization of Distributed generations (DG). The studied network in this …
Voltage Stability Assessment in Smart Electric Grid Under False Data Injection Attack
K Singh, MS Kumari - 2024 15th International Conference on …, 2024 - ieeexplore.ieee.org
The energy sector of today is becoming more and more digital and this brought new security
challenges for the modern smart grid infrastructure. Integration of cyber space (information …
challenges for the modern smart grid infrastructure. Integration of cyber space (information …
[LIVRE][B] Learning-Based Evaluation Framework for Attack Detection Algorithms in Power Systems
AA Sayghe - 2023 - search.proquest.com
Over the last decade, the number of cyberattacks targeting power systems and causing
physical and economic damages has increased rapidly. Among them, False Data Injection …
physical and economic damages has increased rapidly. Among them, False Data Injection …
Optimal placement of phasor measurement units for observability of mazandaran transmission and sub-transmission networks
This article, focuses on optimal placement of phasor measurement units (PMU) in
transmission and sub-transmission networks of Mazandaran province, as a practical …
transmission and sub-transmission networks of Mazandaran province, as a practical …