Results 31 to 40 of about 104,321 (158)

On some properties of enhanced power graph

open access: yes, 2016
Given a group $G$, the enhanced power graph of $G$ denoted by $\mathcal{G}_e(G)$, is the graph with vertex set $G$ and two distinct vertices $x, y$ are edge connected in $\mathcal{G}_e(G)$ if there exists $z\in G $ such that $x=z^m$ and $ y=z^n $, for some $m, n\in \mathbb{N}$. In this article, we characterize the enhanced power graph $\mathcal{G}_e(G)$
Bera, Sudip, Bhuniya, A. K.
openaire   +2 more sources

Graph Attention Network with Mutual k-Nearest Neighbor Strategy for Predictive Maintenance in Nuclear Power Plants

open access: yesTechnologies
This study presents a graph-based framework for improving predictive maintenance in nuclear power plants (NPPs), integrating data balancing techniques with a proposed Graph Attention Network (GAT) with a Mutual k-Nearest Neighbor (Mk-NN) strategy, named ...
Stefano Frizzo Stefenon   +2 more
doaj   +1 more source

Spatiotemporal Coupled State Prediction Model for Local Power Grids Under Renewable Energy Disturbances

open access: yesModelling
The modern power system is becoming increasingly complex, and the uncertainty in the operation of each link has intensified the possibility of risks emerging.
Zhixin Suo   +7 more
doaj   +1 more source

Enhanced power graph from the power graph of a group

open access: yes
The power graph of a group $G$ is a graph with vertex set $G$, where two distinct vertices $a$ and $b$ are adjacent if one of $a$ and $b$ is a power of the other. Similarly, the enhanced power graph of $G$ is a graph with vertex set $G$, where two distinct vertices are adjacent if they belong to the same cyclic subgroup.
Pote, Amar S., Kadu, Ganesh S.
openaire   +2 more sources

ON NEIGHBOURHOODS IN THE ENHANCED POWER GRAPH ASSOCIATED WITH A FINITE GROUP

open access: yesBulletin of the Australian Mathematical Society
AbstractWe investigate neighbourhood sizes in the enhanced power graph (also known as the cyclic graph) associated with a finite group. In particular, we characterise finite p-groups with the smallest maximum size for neighbourhoods of a nontrivial element in its enhanced power graph.
MARK L. LEWIS, CARMINE MONETTA
openaire   +2 more sources

Enhanced Wind Power Forecasting Using Graph Convolutional Networks with Ramp Characterization and Error Correction

open access: yesEnergies
The strong volatility of wind power presents persistent challenges to the stable operation of power systems, highlighting the critical need for accurate wind power forecasting to ensure system reliability.
Xin He   +4 more
doaj   +1 more source

SpeQNet: Query-Enhanced Spectral Graph Filtering for Spatiotemporal Forecasting

open access: yesApplied Sciences
Accurate spatiotemporal forecasting underpins high-stakes decision making in smart urban systems, from traffic control and energy scheduling to environment monitoring.
Zongyao Feng, Konstantin Markov
doaj   +1 more source

Blockchain-Enabled Smart Contract Architecture for Optimal Energy Routing in Smart Grids Using Graph-Theoretic Loss Minimization

open access: yesIEEE Access
The integration of renewable resources and prosumers into smart grids poses challenges related to scalability, transparency, and transmission efficiency.
Madina Konyrova   +3 more
doaj   +1 more source

Overview of Knowledge Graph Question Answering Enhanced by Large Language Models [PDF]

open access: yesJisuanji kexue yu tansuo
Knowledge graph question answering (KGQA) is a technology that retrieves relevant answers from a knowledge graph by processing natural language questions posed by users.
FENG Tuoyu, LI Weiping, GUO Qinglang, WANG Gangliang, ZHANG Yusong, QIAO Zijian
doaj   +1 more source

A power network anomaly alarm denoising method based on a hybrid LSTM-attention model

open access: yesAlexandria Engineering Journal
Power grid fault alarms play a crucial role in minimizing system damage and service disruptions. However, existing deep learning approaches frequently neglect the topological structure and physical characteristics of power system data, leading to ...
Mingfei Zeng, Yuting Lian
doaj   +1 more source

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