Research on the analysis method of power grid technology transformation input based on multi-hierarchy structure tree

Yashan Hu; Yu He; Delv Zhu; Haisen Sun

doi:10.1117/12.2692588

23 August 2023 Research on the analysis method of power grid technology transformation input based on multi-hierarchy structure tree

Yashan Hu, Yu He, Delv Zhu, Haisen Sun

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Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 1278422 (2023) https://doi.org/10.1117/12.2692588
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China

Abstract

Technological transformation input is one of the ways for electric power enterprises to expand and strengthen effective assets. It is of great significance to carry out structural analysis of multi-level technical transformation input in power grid under the background of national economic downturn and the deepening of power system reform. This paper combines the organizational structure relationship of a company in a province to build a multi- hierarchy structure tree, the attribute values of each node in the tree are defined, and the homogeneity and heterogeneity between nodes and between nodes are comprehensively and deeply analyzed by using correlation analysis, regression analysis, cluster analysis and other analysis methods. Meanwhile, the law of the change of attribute values of each node over time is studied. The variation rule of homogeneity and heterogeneity among nodes was analyzed, and the efficiency level of this company's investment in technological transformation in recent years was evaluated.

Citation Download Citation

Yashan Hu, Yu He, Delv Zhu, and Haisen Sun "Research on the analysis method of power grid technology transformation input based on multi-hierarchy structure tree", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 1278422 (23 August 2023); https://doi.org/10.1117/12.2692588

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