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基于大数据的电力信息挖掘考究 被引量:1

Research on power information mining based on big data
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摘要 进入二十一世纪以来,随着电力工业与现代科技的发展,电力的传输质量也逐渐才成为了现代人关注的焦点之一。另一方面,随着现代计算机技术的改良,智能电网也逐渐在新世纪崛起,而随着智能电网的崛起,大数据技术在智能电网的应用中悄然而生。本文以某县级地区的电网可靠性为例,应用灰色算法下的GM(1,1)模型,对该地区的初始状态进行分析,随后对于该地区电力可靠性进行相关预测,最后根据预测结果与现实数据进行对比,以说明该模型的现实意义。 Since the 21st century,with the development of the electric power industry and modern science and technology,the transmission quality of electric power has gradually become one of the focuses of modern people.On the other hand, with the improvement of modern computer technology,smart grids have gradually emerged in the new century.With the rise of smart grids,big data technologies have emerged quietly in smart grid applications.This paper takes the reliability of a certain county-level power grid as an example,applies the GM model under the grey algorithm,analyzes the initial state of the region, and then predicts the reliability of the power in the region and finally predicts the result.Compare with actual data to illustrate the practical significance of the model.
作者 刘厚钦 LIU Houqin(Guangdong Grid Co.,Ltd.,Guangdong,510160)
出处 《自动化与仪器仪表》 2018年第12期22-25,共4页 Automation & Instrumentation
关键词 大数据 GM(模型) 电网可靠性 big data GM model grid reliability
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