Results 11 to 20 of about 1,307,438 (325)

Recent developments on the power graph of finite groups – a survey

open access: yesAKCE International Journal of Graphs and Combinatorics, 2021
Algebraic graph theory is the study of the interplay between algebraic structures (both abstract as well as linear structures) and graph theory. Many concepts of abstract algebra have facilitated through the construction of graphs which are used as tools
Ajay Kumar   +3 more
doaj   +1 more source

The Power Index of a Graph [PDF]

open access: yesGraphs and Combinatorics, 2017
The {\em power index} $ ( )$ of a graph $ $ is the least order of a group $G$ such that $ $ can embed into the power graph of $G$. Furthermore, this group $G$ is {\em $ $-optimal} if $G$ has order $ ( )$. We say that $ $ is {\em power-critical} if its order equals to $ ( )$. This paper focuses on the power indices of complete graphs, complete
Xuanlong Ma, Min Feng, Kaishun Wang
openaire   +2 more sources

A network approach for power grid robustness against cascading failures [PDF]

open access: yes, 2015
Cascading failures are one of the main reasons for blackouts in electrical power grids. Stable power supply requires a robust design of the power grid topology.
Kooij, Robert E.   +3 more
core   +5 more sources

Ultra-short-term Interval Prediction of Wind Power Based on Graph Neural Network and Improved Bootstrap Technique

open access: yesJournal of Modern Power Systems and Clean Energy, 2023
Reliable and accurate ultra-short-term prediction of wind power is vital for the operation and optimization of power systems. However, the volatility and intermittence of wind power pose uncertainties to traditional point prediction, resulting in an ...
Wenlong Liao   +5 more
doaj   +1 more source

Forbidden Subgraphs of Power Graphs [PDF]

open access: yesThe Electronic Journal of Combinatorics, 2021
The undirected power graph (or simply power graph) of a group $G$, denoted by $P(G)$, is a graph whose vertices are the elements of the group $G$, in which two vertices $u$ and $v$ are connected by an edge between if and only if either $u=v^i$ or $v=u^j$ for some $i$, $j$.
Manna, Pallabi   +2 more
openaire   +5 more sources

Magic powers of graphs [PDF]

open access: yesMathematica Bohemica, 1997
The concept of magic graph was introduced by J. Sedláček. A valuation of the edges of a graph by pairwise different positive numbers is called magic, if the sum of values of edges incident with a given vertex is the same for all vertices. If there exists a magic valuation of a graph \(G\), then \(G\) is called a magic graph.
Marián Trenkler, Vladimír Vetchý
openaire   +2 more sources

Clustering Powers of Sparse Graphs [PDF]

open access: yesThe Electronic Journal of Combinatorics, 2020
We prove that if $G$ is a sparse graph — it belongs to a fixed class of bounded expansion $\mathcal{C}$ — and $d\in \mathbb{N}$ is fixed, then the $d$th power of $G$ can be partitioned into cliques so that contracting each of these clique to a single vertex again yields a sparse graph.
Nešetřil, Jaroslav   +3 more
openaire   +3 more sources

Research Review of the Knowledge Graph and its Application in Power System Dispatching and Operation

open access: yesFrontiers in Energy Research, 2022
With the construction of a new power system and the proposal of a double carbon goal, power system operation data are growing explosively, and the optimization of power system dispatching operation is becoming more and more complex.
Junbin Chen   +5 more
doaj   +1 more source

Towards sparse matrix operations: graph database approach for power grid computation

open access: yesGlobal Energy Interconnection, 2023
The construction of new power systems presents higher requirements for the Power Internet of Things (PIoT) technology. The “source-grid-load-storage” architecture of a new power system requires PIoT to have a stronger multi- source heterogeneous data ...
Daoxing Li   +4 more
doaj   +1 more source

A Review of Graph Neural Networks and Their Applications in Power Systems

open access: yesJournal of Modern Power Systems and Clean Energy, 2022
Deep neural networks have revolutionized many machine learning tasks in power systems, ranging from pattern recognition to signal processing. The data in these tasks are typically represented in Euclidean domains.
Wenlong Liao   +4 more
doaj   +1 more source

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