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Open AccessReview

Watt’s up at Home? Smart Meter Data Analytics from a Consumer-Centric Perspective

1
Chair of Computer Architecture, University of Freiburg, 79110 Freiburg, Germany
2
Department of Informatics, TU Clausthal, 38678 Clausthal-Zellerfeld, Germany
3
Center for Artificial Intelligence (CeADAR), University College of Dublin, D04 V1W8 Dublin 4, Ireland
4
ITI, LARSyS, Técnico Lisboa, 1049-001 Lisboa, Portugal
*
Author to whom correspondence should be addressed.
Energies 2021, 14(3), 719; https://doi.org/10.3390/en14030719
Received: 29 December 2020 / Revised: 21 January 2021 / Accepted: 26 January 2021 / Published: 30 January 2021
(This article belongs to the Special Issue Energy Data Analytics for Smart Meter Data)
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. View Full-Text
Keywords: smart metering; smart power grids; power consumption data; energy data processing; user-centric applications of energy data smart metering; smart power grids; power consumption data; energy data processing; user-centric applications of energy data
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MDPI and ACS Style

Völker, B.; Reinhardt, A.; Faustine, A.; Pereira, L. Watt’s up at Home? Smart Meter Data Analytics from a Consumer-Centric Perspective. Energies 2021, 14, 719. https://doi.org/10.3390/en14030719

AMA Style

Völker B, Reinhardt A, Faustine A, Pereira L. Watt’s up at Home? Smart Meter Data Analytics from a Consumer-Centric Perspective. Energies. 2021; 14(3):719. https://doi.org/10.3390/en14030719

Chicago/Turabian Style

Völker, Benjamin; Reinhardt, Andreas; Faustine, Anthony; Pereira, Lucas. 2021. "Watt’s up at Home? Smart Meter Data Analytics from a Consumer-Centric Perspective" Energies 14, no. 3: 719. https://doi.org/10.3390/en14030719

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Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

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