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

机译:基于云计算技术的功率大数据处理属性减少方法研究

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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.
机译:云计算数据处理和计算使得电力大数据的处理智能和快速。云计算技术将复杂,大量多功能数据,实现和汇总。云计算数据处理中心成为当前功率大数据。重要技术。基于云计算技术的背景,本文提出了减少电源大数据处理,并介绍了该理论的简要概述。结合MapReduce模型,纸张实现了电源大数据每月处理减少应用。最后,在Hadoop平台上执行电网故障诊断表和风电测量数据的属性降低。实验结果表明,该方法是有效可行的,具有良好的加速和适用性。它适用于电源大数据处理属性。简单的。

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