Results 61 to 70 of about 104,321 (158)

Insulator Surface Defect Detection Method Based on Graph Feature Diffusion Distillation

Journal of Imaging
Aiming at the difficulties of scarcity of defect samples on the surface of power insulators, irregular morphology and insufficient pixel-level localization accuracy, this paper proposes a defect detection method based on graph feature diffusion ...
Shucai Li, Na Zhang, Gang Yang, Yannong Hou, Xingzhong Zhang   +4 more
doaj   +1 more source

Accelerate microstructure evolution simulation using graph neural networks with adaptive spatiotemporal resolution

Machine Learning: Science and Technology
Surrogate models driven by sizeable datasets and scientific machine-learning methods have emerged as an attractive microstructure simulation tool with the potential to deliver predictive microstructure evolution dynamics with huge savings in ...
Shaoxun Fan, Andrew L Hitt, Ming Tang, Babak Sadigh, Fei Zhou   +4 more
doaj   +1 more source

Graph Neural Network-Based Approach for Detecting False Data Injection Attacks on Voltage Stability

IEEE Open Access Journal of Power and Energy
The integration of information and communication technologies into modern power systems has contributed to enhanced efficiency, controllability, and voltage regulation.
Shahriar Rahman Fahim, Rachad Atat, Cihat Kececi, Abdulrahman Takiddin, Muhammad Ismail, Katherine R. Davis, Erchin Serpedin   +6 more
doaj   +1 more source

On finite nilpotent groups with the same enhanced power graph

3 ...
Mirzargar, M., Sorgun, S., Arani, M. J. Nadjafi   +2 more
openaire   +2 more sources

Spatio-Temporal Feature Fusion-Based Hybrid GAT-CNN-LSTM Model for Enhanced Short-Term Power Load Forecasting

Energies
Conventional power load forecasting frameworks face limitations in dynamic spatial topology capture and long-term dependency modeling. To address these issues, this study proposes a hybrid GAT-CNN-LSTM architecture for enhanced short-term power load ...
Jia Huang, Qing Wei, Tiankuo Wang, Jiajun Ding, Longfei Yu, Diyang Wang, Zhitong Yu   +6 more
doaj   +1 more source

Object-topological modeling of electrical networks

Вестник Северо-Кавказского федерального университета
. Introduction. The Common Information Model (CIM) is the conceptual basis for modeling electrical networks and automating their management. It allows building object-oriented models of electrical networks, but does not provide efficient tools for ...
I. A. Golovinskii
doaj   +1 more source

STS-MambaGPT: A two-stage spatio-temporal synchronized framework with graph attention and state-space modeling for wind speed and photovoltaic power forecasting

International Journal of Electrical Power & Energy Systems
Accurate forecasting of wind speed and photovoltaic (PV) power is essential for reliable renewable energy integration, dispatch scheduling, and grid stability, but remains challenging due to strong temporal volatility and site-level spatial heterogeneity.
Yuwei Chen, Adeel Feroz Mirza, Fei Yang, Muntazir Hussain, Zaiyue Yang   +4 more
doaj   +1 more source

Unveiling the nature of graphs through quantum graphon learning

npj Quantum Information
Graphons are continuous functions hidden behind large-scale graphs. Traditional approaches to graphon learning either suffer from the resolution limitations of piecewise-constant functions or struggle to capture the high-frequency structures intrinsic to
Wenbo Qiao, Peng Zhang, Jiaming Zhao, Shi-Ju Ran   +3 more
doaj   +1 more source

Enhanced thermal modeling of power transformers: A comparison of bond graph and IEEE methods considering external environmental factors

e-Prime: Advances in Electrical Engineering, Electronics and Energy
The optimal and secure operation of electrical power system is largely affected by the reliability of power transformers in operational and economic terms.
Vinit Mehta, Jayashri Vajpai
doaj   +1 more source

Generalizing the enhanced power graph of a group with respect to automorphisms

We generalize the enhanced power graph by replacing elements with classes under automorphisms. We show that the connectivity and diameter of this graph is similar to that of the enhanced power graph. We consider the universal vertices of this graph and when this graph is a complete graph. Finally, we classify when this graph is the empty graph.
Mohammadian, Abbas, Guloglu, Ismail, Erfanian, Ahmad, Lewis, Mark L.   +3 more
openaire   +2 more sources