[HTML][HTML] Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities
Despite widespread adoption and outstanding performance, machine learning models are
considered as “black boxes”, since it is very difficult to understand how such models operate …
considered as “black boxes”, since it is very difficult to understand how such models operate …
Artificial intelligence techniques for stability analysis and control in smart grids: Methodologies, applications, challenges and future directions
Smart grid is the new trend for clean, sustainable, efficient and reliable energy generation,
delivery and use. To ensure stable and secure operation is essential for the smart grid …
delivery and use. To ensure stable and secure operation is essential for the smart grid …
Review on interpretable machine learning in smart grid
In recent years, machine learning, especially deep learning, has developed rapidly and has
shown remarkable performance in many tasks of the smart grid field. The representation …
shown remarkable performance in many tasks of the smart grid field. The representation …
A review of machine learning applications in power system resilience
J Xie, I Alvarez-Fernandez… - 2020 IEEE Power & Energy …, 2020 - ieeexplore.ieee.org
The integration of power electronics enabled devices and the high penetration of renewable
energy drastically increase the complexity of power system operation and control. Power …
energy drastically increase the complexity of power system operation and control. Power …
AI-oriented smart power system transient stability: the rationality, applications, challenges and future opportunities
Nowadays, the power grid has become an active colossal resource generation and
management system due to the wide use of renewable energy and dynamic workloads …
management system due to the wide use of renewable energy and dynamic workloads …
Interpretable time-adaptive transient stability assessment based on dual-stage attention mechanism
Q Chen, N Lin, S Bu, H Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Fast and reliable transient stability assessment (TSA) is significant for safe and stable power
system operation. Deep learning provides a new tool for TSA. However, it is difficult to apply …
system operation. Deep learning provides a new tool for TSA. However, it is difficult to apply …
A critical review of data-driven transient stability assessment of power systems: principles, prospects and challenges
S Zhang, Z Zhu, Y Li - Energies, 2021 - mdpi.com
Transient stability assessment (TSA) has always been a fundamental means for ensuring
the secure and stable operation of power systems. Due to the integration of new elements …
the secure and stable operation of power systems. Due to the integration of new elements …
Artificial intelligence techniques for power system transient stability assessment
The high penetration of renewable energy sources, coupled with decommissioning of
conventional power plants, leads to the reduction of power system inertia. This has negative …
conventional power plants, leads to the reduction of power system inertia. This has negative …
A graph attention networks-based model to distinguish the transient rotor angle instability and short-term voltage instability in power systems
Digital simulation is significant for the operating mode and control decision-making of power
systems. In the process of simulation data analysis, stability analysis is an essential part …
systems. In the process of simulation data analysis, stability analysis is an essential part …
Fault diagnosis of electric motors using deep learning algorithms and its application: A review
Y Yang, MMM Haque, D Bai, W Tang - Energies, 2021 - mdpi.com
Electric motors are used extensively in numerous industries, and their failure can result not
only in machine damage but also a slew of other issues, such as financial loss, injuries, etc …
only in machine damage but also a slew of other issues, such as financial loss, injuries, etc …