Results 121 to 130 of about 1,358,458 (277)

Research on power system carbon flow calculation based on graph database and graph computing engine

大数据
Firstly, the basic principles of graph database and graph algorithms are introduced, including the data model of graph database, query language, and common graph algorithms.Then, the method of constructing the graph model of the power system is ...
Guangxin ZHU, Chunlei ZHOU, Junni LI, Jimeng SONG, Xin SHI, Ziqi SHEN   +5 more
doaj  

Graph Computing Based Knowledge Reasoning in Electric Power System Considering Knowledge Graph Sparsity

CSEE Journal of Power and Energy Systems
Knowledge graph, which is a rapidly developing technology, provides strong support in business and engineering. Knowledge graph plays an important role in recommendations and decision-making, while in the electric power industry, there would be more ...
Tianjiao Pu, Yuanpeng Tan, Zhenyuan Ma, Jiannan Xu   +3 more
doaj   +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

Advanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios, Anthony Gonzalez, Aleksander Aleman, Tyler Dolmetsch, Tanaji Paul, Arvind Agarwal   +5 more
wiley   +1 more source

Power system transient stability assessment based on hierarchical graph pooling method considering missing data

International Journal of Electrical Power & Energy Systems
The transient stability assessment (TSA) model based on graph deep learning relies on complete system topology and its characteristics. However, electrical operation data may be missing during the measurement and transmission process, which can lead to a
Chenhao Zhao, Zaibin Jiao, Penghui Zhang, Linbo Zhang   +3 more
doaj   +1 more source

Provably Powerful Graph Networks

, 2019
Recently, the Weisfeiler-Lehman (WL) graph isomorphism test was used to measure the expressive power of graph neural networks (GNN). It was shown that the popular message passing GNN cannot distinguish between graphs that are indistinguishable by the 1-WL test (Morris et al. 2018; Xu et al. 2019).
Maron, Haggai, Ben-Hamu, Heli, Serviansky, Hadar, Lipman, Yaron   +3 more
openaire   +2 more sources

Thermophysical Properties of the Desulphurization Slags With Various CaS and CaO/Al2O3 Ratio

Advanced Engineering Materials, EarlyView.
This article investigates how CaS content and the CaO/Al2O3 ratio influence the thermophysical properties of desulphurization slags. Using experimental measurements and thermodynamic simulations, this study reveals complex effects on viscosity, surface tension, and density, providing new insight into slag structure and phase behavior under ...
Eldar Salpagarov, Matheus Roberto Bellé, Anton Yehorov, Julia Richter, Olena Volkova   +4 more
wiley   +1 more source

Resilient Temporal Graph Convolutional Network for Smart Grid State Estimation Under Topology Inaccuracies

IEEE Open Access Journal of Power and Energy
Dynamic State Estimation is a crucial task in power systems. Graph Neural Networks have demonstrated significant potential in dynamic state estimation, for power systems by effectively analyzing measurement data and capturing the complex interactions and
Seyed Hamed Haghshenas, Mia Naeini
doaj   +1 more source

Novel Tailoring of Ternary ZnS‐MXene‐TiO2 Nanocomposite Heterojunction and Its Tunable Electrochemical Properties With Enhanced Photocatalytic Degradation

Advanced Engineering Materials, EarlyView.
ZnS‐MXene‐TiO2 nanocomposite heterojunction for photocatalytic decomposition of this methylene blue dye (MB) greatly improves light absorption, charge separation, and active site area. Two‐dimensional MXene forms nanocomposites by easily combining them with 0D (quantum dots), 1D (tube and wire), 2D (plane and sheet), and 3D (particle and lamellar ...
Latiful Kabir, Dohyun Kim, Minho Song, Jae Doc Na, Young Jun Joo, Kwang Youn Cho, Karna Wijaya, Won‐Chun Oh   +7 more
wiley   +1 more source

Dynamic knowledge graph approach for modelling the decarbonisation of power systems

Energy and AI
This paper presents a dynamic knowledge graph approach that offers a reusable, interoperable, and extensible framework for modelling power systems. Domain ontologies have been developed to support a linked data representation of infrastructure data ...
Wanni Xie, Feroz Farazi, John Atherton, Jiaru Bai, Sebastian Mosbach, Jethro Akroyd, Markus Kraft   +6 more
doaj   +1 more source

Assessing Altered Coating Adhesion on Plasma‐Deoxidized Surfaces Under Oxygen‐Free Conditions

Advanced Engineering Materials, EarlyView.
This study demonstrates the effectiveness of atmospheric pressure plasma pretreatment in modifying silicon and stainless steel surfaces to improve adhesion. Argon‐hydrogen plasma increases surface roughness and improves adhesion strength, whereas pure argon results in smoother surfaces and structural changes.
Selina Raumel, Lara Kuhr, Khemais Barienti, Sebastian Herbst, Florian Nürnberger, Hans Jürgen Maier, Marc C. Wurz   +6 more
wiley   +1 more source