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Efficient Retrieval of Power Structured Data with Global Data Access View.

Jiwei Li, Bo Li, Shi Liu, Hongwei Lv,Fei Chen, Qing Liu

CNML '23 Proceedings of the 2023 International Conference on Communication Network and Machine Learning(2024)

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摘要
With the deepening of power grid informatization construction, the number of structured data such as equipment, network and operation data used in power system is increasing rapidly. In order to improve the efficiency of power system analysis and decision-making, an efficient power structured data retrieval method is proposed by introducing global data access view. The power data is visually transformed by visual display, and the power data is assembled and presented in a way of minimizing packaging. The transformation between users and data is interactive, and the data is visualized by AJAX engine. Perceptual hash algorithm is used to calculate the similarity of structured power data, and Fourier transform is introduced to realize efficient retrieval of structured power data. The experimental results show that the proposed data retrieval method has high retrieval efficiency, and the F1 value is always above 0.98, which shows that the application accuracy of this method is very ideal.
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