Research on Power Big Data Processing Attribute Reduction Method Based on Cloud Computing Technology

2018 3rd International Conference on Insulating Materials, Material Application and Electrical Engineering

材料科学;无线电电子学;电工学

Zhang, Hui^1 ; Kong, Fande^2 ; Wang, Haiwen^1

School of Economics and Trade, Ji Lin Engineering Normal University, Changchun

130000, China^1

Qinhuangdao Highway Engineering Quality Supervision Station, Qinhuangdao

066000, China^2

关键词: Attribute reduction;    Attribute reduction method;    Cloud computing technologies;    Current power;    Data processing centers;    Hadoop platforms;    MapReduce models;    Power data;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/452/4/042026/pdf
DOI  :  10.1088/1757-899X/452/4/042026

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Cloud computing data processing and calculation makes the processing of power big data intelligent and fast. The cloud computing technology will be complex, large, multi-power data actualized and pooled. The cloud computing data processing center becomes the current power big data. Important technology. Based on the background of cloud computing technology, this paper proposes a power big data Processing reduction, and gives a brief overview of the theory. Combined with the MapReduce model, the paper implements the power big data monthly processing reduction application. Finally, the attribute reduction of the grid fault diagnosis table and the wind power measured data is carried out on the Hadoop platform. The experimental results show that the method is effective and feasible, and has a good speedup and applicability. It is suitable for the power big data Processing attribute. Simple.