Research on multidimensional data analysis method of electric power based on tensor network model

Junfeng Qiao; Min Xu; Aihua Zhou; Lin Peng; Sen Pan; Pei Yang

doi:10.1117/12.3052787

11 December 2024 Research on multidimensional data analysis method of electric power based on tensor network model

Junfeng Qiao, Min Xu, Aihua Zhou, Lin Peng, Sen Pan, Pei Yang

Proceedings Volume 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024); 134450N (2024) https://doi.org/10.1117/12.3052787
Event: International Conference on Electronics. Electrical and Information Engineering (ICEEIE 2024), 2024, Haikou, China

Abstract

Tensor networks can describe entity objects from multiple dimensions to more accurately reflect all the features of the entity. There are a large number of physical devices in the power grid, with multiple basic attributes and frequent updates of device status. The use of tensor network models can effectively characterize the equipment in the power grid and the operational situation of the power grid. This paper proposes the use of tensor network models to analyze the equipment and dynamic characteristics of the power grid. Construct a tensor network model from multiple dimensions such as device type, voltage level, affiliation, and device status. In response to the large number and scale of equipment in the power grid, analyzing the characteristics of concentrated application scenarios, reducing the dimensions of tensor network models and highlighting commonly used data description dimensions to meet the needs of power grid applications. Based on this model, carry out application verification such as power supply reliability analysis and energy loss analysis. Extract corresponding data resources from different coordinate dimensions, and then calculate the inner product of the data from different dimensions. Based on the calculation results, perform neural network correlation analysis on different data resources, and solve the analysis results and solutions.

Citation Download Citation

Junfeng Qiao, Min Xu, Aihua Zhou, Lin Peng, Sen Pan, and Pei Yang "Research on multidimensional data analysis method of electric power based on tensor network model", Proc. SPIE 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024), 134450N (11 December 2024); https://doi.org/10.1117/12.3052787

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KEYWORDS

Data modeling

Power supplies

Matrices

Power grids

Quantum networks

Video

Neural networks

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