Advanced smart prepaid meter
Advanced smart prepaid meter
The conventional power grid faces challenges in the distribution sector, leading to power losses and increased electricity costs per unit. To address these issues, the development of smart grids and automation has become essential. A key component of this shift is played by smart meters, which are advanced meters utilized for remote energy consumption measurement. They provide several advantages, such as effective billing, supply–demand balancing, remote metering, and monitoring. Smart meter deployment benefits energy suppliers, consumers, and society as a whole and helps to accomplish various UN Sustainable Development Goals (UN SDG). The development of many types of smart meters with functions beyond the core functionality of smart metering is evidence of the ongoing evolution of this technology. In that transition, prepaid meters have emerged as a variant of smart meters, drawing more attention due to their effective energy management functionalities in addition to conventional smart meter functionalities. Although these additional functionalities offer significant advantages to both energy suppliers and consumers, it is imperative to consider the costs associated with designing and implementing such sophisticated prepaid meters. The design of the prepaid meter becomes more complex as it incorporates more features and capabilities which drive up production and development costs. The combination of these factors may increase the overall cost of advanced prepaid meters, which may sometimes outweigh the direct benefits associated with their deployment. So, there is a need to develop a cost‐effective strategy to address the aforementioned challenges. Consequently, in this work, a cost‐effective prepaid meter design approach with advanced metering functionalities is proposed, developed, and tested in real‐time scenarios to mitigate the aforementioned challenges.
AI, Advanced metering infrastructures, Load prediction, Smart grid, Smart prepaid meter
371-418
Periyathambi, Ezhilarasi
73d0454a-1488-43a5-a102-efdc3eb0fb02
Ramesh, L.
270dde2d-9553-4346-ba9b-ce8ade367520
Jagannathan, Balamurugan
fce87364-4499-48d3-b337-4cc73c8f57c2
Holm-Nielsen, Jens Bo
9ea0859e-9a31-48c0-b904-2636f2003c50
16 April 2025
Periyathambi, Ezhilarasi
73d0454a-1488-43a5-a102-efdc3eb0fb02
Ramesh, L.
270dde2d-9553-4346-ba9b-ce8ade367520
Jagannathan, Balamurugan
fce87364-4499-48d3-b337-4cc73c8f57c2
Holm-Nielsen, Jens Bo
9ea0859e-9a31-48c0-b904-2636f2003c50
Periyathambi, Ezhilarasi, Ramesh, L., Jagannathan, Balamurugan and Holm-Nielsen, Jens Bo
(2025)
Advanced smart prepaid meter.
In,
G, Senbagavalli, T, Kavitha, N, Amuthan and F.J.J, Joseph
(eds.)
Cloud Computing in Smart Energy Meter Management.
USA.
John Wiley & Sons Inc., .
(doi:10.1002/9781394193769.ch13).
Record type:
Book Section
Abstract
The conventional power grid faces challenges in the distribution sector, leading to power losses and increased electricity costs per unit. To address these issues, the development of smart grids and automation has become essential. A key component of this shift is played by smart meters, which are advanced meters utilized for remote energy consumption measurement. They provide several advantages, such as effective billing, supply–demand balancing, remote metering, and monitoring. Smart meter deployment benefits energy suppliers, consumers, and society as a whole and helps to accomplish various UN Sustainable Development Goals (UN SDG). The development of many types of smart meters with functions beyond the core functionality of smart metering is evidence of the ongoing evolution of this technology. In that transition, prepaid meters have emerged as a variant of smart meters, drawing more attention due to their effective energy management functionalities in addition to conventional smart meter functionalities. Although these additional functionalities offer significant advantages to both energy suppliers and consumers, it is imperative to consider the costs associated with designing and implementing such sophisticated prepaid meters. The design of the prepaid meter becomes more complex as it incorporates more features and capabilities which drive up production and development costs. The combination of these factors may increase the overall cost of advanced prepaid meters, which may sometimes outweigh the direct benefits associated with their deployment. So, there is a need to develop a cost‐effective strategy to address the aforementioned challenges. Consequently, in this work, a cost‐effective prepaid meter design approach with advanced metering functionalities is proposed, developed, and tested in real‐time scenarios to mitigate the aforementioned challenges.
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Published date: 16 April 2025
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© 2025 Scrivener Publishing LLC. All rights reserved.
Keywords:
AI, Advanced metering infrastructures, Load prediction, Smart grid, Smart prepaid meter
Identifiers
Local EPrints ID: 502702
URI: http://eprints.soton.ac.uk/id/eprint/502702
PURE UUID: c542ebd2-cc27-4c1b-901f-e534275a221f
Catalogue record
Date deposited: 07 Jul 2025 16:31
Last modified: 11 Jul 2025 17:09
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Contributors
Author:
Ezhilarasi Periyathambi
Author:
L. Ramesh
Author:
Balamurugan Jagannathan
Author:
Jens Bo Holm-Nielsen
Editor:
Senbagavalli G
Editor:
Kavitha T
Editor:
Amuthan N
Editor:
Joseph F.J.J
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