Big Data Preprocessing Approach for Smart Grid Based on Partial Order Reduction

التفاصيل البيبلوغرافية
العنوان:	Big Data Preprocessing Approach for Smart Grid Based on Partial Order Reduction
المؤلفون:	Zhao, LQ, Zhu, JW, Zhang, YH, Huang, ZL, Li, LC
المصدر:	Journal of Physics: Conference Series ; volume 2476, issue 1, page 012081 ; ISSN 1742-6588 1742-6596
بيانات النشر:	IOP Publishing
سنة النشر:	2023
الوصف:	In the age of big data, power grid data is characterized by large amount, fast speed and variable types. Traditional attribute reduction methods can no longer meet the needs of big data preprocessing. Therefore, this paper proposes a partial order attribute reduction method for power big data based on rough set. This method deeply analyzes the characteristics of the decision table, uses the parallelization algorithm to improve the attribute reduction algorithm, and effectively solves the efficiency problem in the computing process in the big data environment. Then it generates a series of MapReduce tasks corresponding to the generated Hive command, and obtains the decision rules through reduction. Finally, based on Hadoop platform, the incremental attribute reduction calculation of power fault data in certain area is designed according to the actual demand. The results show that the method has good performance in processing big data, and it can effectively process massive continuous power grid equipment monitoring data.
نوع الوثيقة:	article in journal/newspaper
اللغة:	unknown
DOI:	10.1088/1742-6596/2476/1/012081
DOI:	10.1088/1742-6596/2476/1/012081/pdf
الاتاحة:	http://dx.doi.org/10.1088/1742-6596/2476/1/012081 https://iopscience.iop.org/article/10.1088/1742-6596/2476/1/012081 https://iopscience.iop.org/article/10.1088/1742-6596/2476/1/012081/pdf
Rights:	http://creativecommons.org/licenses/by/3.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining
رقم الانضمام:	edsbas.6A366698
قاعدة البيانات:	BASE

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الوصف
DOI:	10.1088/1742-6596/2476/1/012081