Watt’s up at Home? Smart Meter Data Analytics from a Consumer-Centric Perspective
Watt’s up at Home? Smart Meter Data Analytics from a Consumer-Centric Perspective
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DOI：
10.3390/en14030719
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发表时间：
2021-01
期刊：
影响因子：
3.2
通讯作者：
Benjamin Völker;Andreas Reinhardt;A. Faustine;Lucas Pereira
中科院分区：
文献类型：
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作者：
Benjamin Völker;Andreas Reinhardt;A. Faustine;Lucas Pereira
与传统计量设备相比，智能电表的主要优势在于它们能够将消费信息传输到远程数据处理系统。除了能够自动收集客户的用电量以用于计费目的外，这些设备收集的数据还使许多新颖用例的实现成为可能。然而，绝大多数此类服务都是为了改善电网的整体运营而定制的。例如，对家庭能源消耗或光伏发电的预测可以改善发电厂的发电调度。类似地，异常消耗模式的检测可以指示电力盗窃，并作为相应调查的触发器。尽管客户可以直接影响他们的电能消耗，但用户受益的用例范围仍然远远小于一般有利于电网的用例范围。因此，在这项工作中，我们审查了根据最终客户需求量身定制的服务范围。通过简要讨论其技术基础及其对未来发展的潜在影响，我们强调了从以用户为中心的角度利用智能电表数据的巨大潜力。在这个领域中，所产生的国家的最先进的数据通信和处理方法的缺点，几个开放的研究挑战，进一步给出。我们预计他们的调查将导致数据处理服务的重大进步，并最终提高操作智能电表的客户体验。
The key advantage of smart meters over traditional metering devices is their ability to transfer consumption information to remote data processing systems. Besides enabling the automated collection of a customer’s electricity consumption for billing purposes, the data collected by these devices makes the realization of many novel use cases possible. However, the large majority of such services are tailored to improve the power grid’s operation as a whole. For example, forecasts of household energy consumption or photovoltaic production allow for improved power plant generation scheduling. Similarly, the detection of anomalous consumption patterns can indicate electricity theft and serve as a trigger for corresponding investigations. Even though customers can directly influence their electrical energy consumption, the range of use cases to the users’ benefit remains much smaller than those that benefit the grid in general. In this work, we thus review the range of services tailored to the needs of end-customers. By briefly discussing their technological foundations and their potential impact on future developments, we highlight the great potentials of utilizing smart meter data from a user-centric perspective. Several open research challenges in this domain, arising from the shortcomings of state-of-the-art data communication and processing methods, are furthermore given. We expect their investigation to lead to significant advancements in data processing services and ultimately raise the customer experience of operating smart meters.