[HTML][HTML] Cybersecurity of distributed energy resource systems in the smart grid: A survey

J Chen, J Yan, A Kemmeugne, M Kassouf, M Debbabi - Applied Energy, 2025 - Elsevier
Distributed energy resources (DERs) are increasingly proliferating worldwide, driven by their
benefits in promoting energy sustainability, efficiency, and resiliency. Coordinated …

Artificial Intelligence and Physics-Based Anomaly Detection in the Smart Grid: A Survey

GB Gaggero, P Girdinio, M Marchese - IEEE Access, 2025 - ieeexplore.ieee.org
The integration of advanced communication systems and distributed resources has
transformed power systems, enhancing control and efficiency in the Smart Grid. However …

Integrating Two-Tier Optimization Algorithm with Convolutional Bi-LSTM Model for Robust Anomaly Detection in Autonomous Vehicles

M Alotaibi, MA Alohali, K Mahmood, AA Alhashmi… - IEEE …, 2024 - ieeexplore.ieee.org
Industrial development has changed vehicles of traditional into autonomous vehicles (AVs).
AVs play a significant role since they are measured as a vital module of smart cities. The AV …

TD-DALN: A Twin Data Driven Design Anomaly Detection Method for Electrohydraulic Actuators

Z Cui, H Liu, J Yue, C Wu - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Electrohydraulic actuators (EHAs) are one of the most widely applied high power density
equipments in mechatronic systems. Anomaly detection is essential for EHA prototypes to …

[引用][C] Scenario-based auto data generation framework using hardware-in-the-loop testbed for deep learning-based applications in DER distribution grid

LNAA Mantha - 2024