Multi-source power address data fusion based on data mining technology

Min Xu; Liming Lin; Xirong Lv; Ying Jiang

doi:10.1117/12.2679709

16 June 2023 Multi-source power address data fusion based on data mining technology

Min Xu, Liming Lin, Xirong Lv, Ying Jiang

Proceedings Volume 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023); 127021V (2023) https://doi.org/10.1117/12.2679709
Event: International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 2023, Changsha, China

Abstract

With the upgrading and transformation of power system intelligence, the number and kinds of power big data have begun to show an explosive growth trend, the development of power grid in our country has already entered into the era of big data. How to quickly collect and sort out useful information in the chaotic data pile is a great challenge for the current power system construction. Multi-source information fusion plays an important role in the research of power big data. It can fuse the data information belonging to the research object from various aspects together to realize the sorting out of the disorganized power grid data and obtain a more detailed and comprehensive analysis of the research object. And relying on the mature development of big data storage and processing technology, it provides a new opportunity for the research of multi-source information fusion of power big data.

Citation Download Citation

Min Xu, Liming Lin, Xirong Lv, and Ying Jiang "Multi-source power address data fusion based on data mining technology", Proc. SPIE 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 127021V (16 June 2023); https://doi.org/10.1117/12.2679709

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