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Journal 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
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IET Generation, Transmission & Distribution, 2023 Accurately forecasting regional distributed photovoltaic (DPV) power is crucial in mitigating the negative impact of high DPV penetration on the reliability and resilience of the distribution network.
Yuqing Wang +4 more
semanticscholar +1 more source
The Power Index of a Graph [PDF]
Graphs 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
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Research Review of the Knowledge Graph and its Application in Power System Dispatching and Operation
Frontiers 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
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Protection and Control of Modern Power Systems, 2023 State estimation plays a vital role in the stable operation of modern power systems, but it is vulnerable to cyber attacks. False data injection attacks (FDIA), one of the most common cyber attacks, can tamper with measurement data and bypass the bad ...
Bairen Chen +3 more
semanticscholar +1 more source
The Surprising Power of Graph Neural Networks with Random Node Initialization [PDF]
International Joint Conference on Artificial Intelligence, 2020 Graph neural networks (GNNs) are effective models for representation learning on relational data. However, standard GNNs are limited in their expressive power, as they cannot distinguish graphs beyond the capability of the Weisfeiler-Leman graph ...
Ralph Abboud +3 more
semanticscholar +1 more source
Grid-Graph Signal Processing (Grid-GSP): A Graph Signal Processing Framework for the Power Grid [PDF]
IEEE Transactions on Signal Processing, 2021 The underlying theme of this paper is to explore the various facets of power systems data through the lens of graph signal processing (GSP), laying down the foundations of the Grid-GSP framework.
Raksha Ramakrishna, A. Scaglione
semanticscholar +1 more source
Forbidden Subgraphs of Power Graphs [PDF]
The 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
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A network approach for power grid robustness against cascading failures [PDF]
, 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
Mathematica 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
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