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AMI Smart Meter Big Data Analytics for Time Series of Electricity Consumption

机译:AMI智能电表大数据分析,用于耗电量的时间序列

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摘要

AMI Smart meters are the advanced meters capable of measuring customer energy consumption at a fine grained time interval, e.g., every 5 minutes, 15 minutes etc. The data are very sizable, and might be from different sources, along with the other social-economic metrics, which make the data management very complex. A smart grid is an intelligent electricity grid that optimizes the generation, distribution and consumption of electricity through the introduction of Information and Communication Technologies on the electricity grid. Deployment of smart grids gives space to an occurrence of new methods of machine learning and data analysis. Smart grids can contain a millions of smart meters, which produce a large amount of data of electricity consumption (long time series). Big Data technologies offers suitable solutions for utilities. This paper presents a thorough analysis of 5-minutes 100 anonymized commercial buildings meter data sets to explore time series of electricity consumption and on the creation of a simple forecast model, which uses similar day approach. Our big data analytics can help energy companies to improve the management of energy and services, support intelligent grid control, make an accurate forecast or to detect anomalies.
机译:AMI Smart电表是先进的电表,能够按细粒度的时间间隔(例如,每5分钟,15分钟等)测量客户的能耗。数据非常可观,可能来自不同的来源以及其他社会经济因素。指标,这使得数据管理非常复杂。智能电网是一种智能电网,它通过在电网上引入信息和通信技术来优化电力的产生,分配和消耗。智能电网的部署为出现机器学习和数据分析新方法提供了空间。智能电网可以包含数百万个智能电表,这些电表会产生大量的用电量数据(长时间序列)。大数据技术为公用事业提供了合适的解决方案。本文对5分钟的100个匿名商业建筑电表数据集进行了全面分析,以探索用电时间序列,并创建了一个简单的预测模型,该模型使用类似的日间方法。我们的大数据分析可以帮助能源公司改善能源和服务的管理,支持智能电网控制,做出准确的预测或检测异常。

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