A Method for Smart Grid Data Analysis Based on MapReduce Cloud Computing
Authors: 
Danhua Qiu, Xinlei Cai, Zijie Meng, Xu LinAuthors Info & Claims
Danhua Qiu, Xinlei Cai, Zijie Meng, Xu LinAuthors Info & ClaimsArticle No.: 8, Pages 1 - 4
Abstract
In the process of building a smart grid, there are miscellaneous data stored in the cloud, which reduces the accuracy of power system dispatching and seriously endangers the stable operation of power system. In this paper, an analysis method for smart grid data is proposed based on MapReduce cloud computing. On the basis of cloud computing for smart grid, MapReduce parallel optimization algorithm is adopted to improve the efficiency system response, and the cloud computing model for MapReduce is constructed according to the algorithm. Finally, the method is applied to the data analysis of smart grid for verification. The results show that the proposed method can effectively improve the accuracy and efficiency of smart grid data analysis, and has good engineering application value.
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Published In
December 2021
699 pages
ISBN:9781450385053
DOI:10.1145/3508546
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Association for Computing Machinery
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Published: 25 February 2022
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- China Southern Power Grid Company Limited 036000KK52190005(GDKJXM20198110)
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ACAI'21
ACAI'21: 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence
December 22 - 24, 2021
Sanya, China
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Overall Acceptance Rate 173 of 395 submissions, 44%
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