Results 81 to 90 of about 256,711 (164)

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

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

Wind Power Forecast Using Multilevel Adaptive Graph Convolution Neural Network

Energies
Accurate forecasting of wind power is essential for maintaining the stability and efficiency of power networks as renewable energy sources become more integrated.
Oluwaseun E. Duntoye, Kowovi C. Alowonou, Do-Hoon Kwon   +2 more
doaj   +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

Enhanced power graph from the power graph of a group

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

Generalised power graph compression reveals dominant relationship patterns in complex networks. [PDF]

Sci Rep, 2014
Ahnert SE.
europepmc   +1 more source

Drug-target binding affinity prediction based on power graph and word2vec. [PDF]

BMC Med Genomics
Hu J, Hu S, Xia M, Zheng K, Zhang X.
europepmc   +1 more source

Drug target affinity prediction based on multi-scale gated power graph and multi-head linear attention mechanism. [PDF]

PLoS One
Hu S, Hu J, Zhang X, Jin S, Xu X.
europepmc   +1 more source

Nonintrusive Power Load Decomposition Based on Adaptive Graph Convolutional Neural Network. [PDF]

Sensors (Basel)
Zhao P, Wei J, Wang L, Qiu Y.
europepmc   +1 more source