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Electrical Consumption Pattern Base on Meter Data Management System Using Big Data Techniques

机译:基于大数据技术的电表数据管理系统用电模式

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The present work warns of the potential performance of the mapreduce technique for handling big data from the intelligent measurement of electrical energy, this information is managed by the measurement data management system and is used to find the energy consumption pattern of the users. The large amount of information from the intelligent measurement of electrical energy requires a short-term analysis for a subsequent decision-making required to obtain the answer to the demand of the energy in each electric distribution company. In this way, this work presents a technique to handle a large amount of information in a short time to generate trends and statistics of electric energy consumption information from the information coming from several years of information storage.
机译:当前的工作警告了mapreduce技术在智能电能测量中处理大数据的潜在性能,该信息由测量数据管理系统管理,并用于查找用户的能耗模式。来自智能电能测量的大量信息需要进行短期分析,以进行后续决策,以获取各配电公司对能源需求的答案。这样,这项工作提出了一种在短时间内处理大量信息的技术,以便根据来自几年信息存储的信息生成电能消耗信息的趋势和统计数据。

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