基于大数据平台的电力负荷预测Power load prediction based on big data platform
刘南艳,贺敏,赵建文
摘要(Abstract)：
电力行业是大数据应用的重要领域之一,电力系统每时每刻都在产生大规模、种类繁多的电力数据,面对海量数据,该如何将它们高效的处理和存储,并进行有效开发利用十分关键。因此,研究基于Hadoop云计算平台海量数据下的电力负荷预测方法,并在MapReduce编程框架的基础下,将K-Means算法进行改良和优化。实验结果表明,提出的方法是可行的,数据处理时间大大缩短,算法精度也能满足负荷预测的要求。
关键词(KeyWords)： 大数据;Hadoop;云计算;Mapreduce;电力系统;电力负荷预测
基金项目(Foundation): 工业科技攻关项目:矿井电网智能漏电保护研发(2015GY049)~~
作者(Author): 刘南艳,贺敏,赵建文
DOI: 10.16652/j.issn.1004-373x.2018.20.037
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