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Journal articles on the topic 'Smart metering'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 March 2023

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1

Houseman, Doug. "Smart metering." Refocus 6, no. 5 (September 2005): 50–51. http://dx.doi.org/10.1016/s1471-0846(05)70461-3.

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2

Ashmore, C. "Smart measures [smart metering]." Power Engineer 19, no. 6 (2005): 30. http://dx.doi.org/10.1049/pe:20050605.

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3

Sony, Arya. "Analisis Kasus Pencurian Listrik Menggunakan Proses Stochastic Pada Lingkungan Terpasang Smart Metering." Elinvo (Electronics, Informatics, and Vocational Education) 4, no. 2 (November 27, 2019): 162–68. http://dx.doi.org/10.21831/elinvo.v4i2.28309.

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Menggunakan metode deteksi yang presisi pada kasus pencurian listrik merupakan pekerjaan yang mustahil dilakukan. Hal ini disebabkan karena adanya satu variabel yang bernilai ekonomi tinggi yang diperlukan agar perhitungan mungkin untuk dilakukan, yaitu variabel jarak penghantar. Dengan memasukkan proses stokastik ke dalam persamaan deteksi pencurian listrik akan banyak mengurangi pekerjaan PLN dalam mengimplementasikan Sistem Smart Metering. Smart Metering adalah Perangkat IoT yang dapat merekam jumlah konsumsi listrik pelanggan yang terpasang pada masing-masing meteran listrik pelanggan PLN. Hasil simulasi menunjukkan bahwa dengan menggunakan proses stochastik tidak mengurangi akurasi Sistem Smart Metering dan hanya menunjukkan kesalahan rata-rata 1,19E-07%. Penemuan ini sangat diperlukan karena dengan diacaknya variabel jarak penghantar maka pekerjaan implementasi Smart Metering menjadi lebih mudah karena tidak harus memasukkan nilai jarak penghantar ke setiap perangkat.
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4

Pillai, Reji, and Hem Thukral. "Next generation smart metering: IP metering." CIRED - Open Access Proceedings Journal 2017, no. 1 (October 1, 2017): 2827–29. http://dx.doi.org/10.1049/oap-cired.2017.0521.

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5

Mitchell, Joey. "Smart Planning Drives Smart Metering." Opflow 47, no. 1 (January 2021): 16–18. http://dx.doi.org/10.1002/opfl.1485.

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6

Rojas, Wilson Manuel, Octavio Jose Salcedo Parra, and Lewys Correa Sanchez. "Smart grids-smart metering regulation." Applied Mathematical Sciences 11, no. 62 (2017): 3091–99. http://dx.doi.org/10.12988/ams.2017.710310.

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7

Gheorghe, Gabriel, and Daniel Craciun. "SMART GRID / SMART METERING CONVERGENCE SOLUTIONS." EMERG - Energy. Environment. Efficiency. Resources. Globalization 6, no. 1 (2020): 11–29. http://dx.doi.org/10.37410/emerg.2020.1.01.

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8

Salimuddin, Mr Mohd. "Smart Metering for Smart Power Consumption." International Journal for Research in Applied Science and Engineering Technology 7, no. 3 (March 31, 2019): 1874–78. http://dx.doi.org/10.22214/ijraset.2019.3350.

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9

Kukuča, Peter, and Igor Chrapčiak. "From Smart Metering to Smart Grid." Measurement Science Review 16, no. 3 (June 1, 2016): 142–48. http://dx.doi.org/10.1515/msr-2016-0017.

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Abstract The paper deals with evaluation of measurements in electrical distribution systems aimed at better use of data provided by Smart Metering systems. The influence of individual components of apparent power on the power loss is calculated and results of measurements under real conditions are presented. The significance of difference between the traditional and the complex evaluation of the electricity consumption efficiency by means of different definitions of the power factor is illustrated.
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10

Pan, Ying, and Bo Jiang. "Smart Metering for Applications." Advanced Materials Research 960-961 (June 2014): 823–27. http://dx.doi.org/10.4028/www.scientific.net/amr.960-961.823.

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As an important part of Smart Grid, smart metering attracts more and more attention all over the world. It is the way for energy consumer to sense the benefit of smart grid directly. Smart meter is an advanced energy meter that measures consumption of electrical energy providing additional information compared to a conventional energy meter. This paper discusses various applications and technologies that can be integrated with a smart meter. Smart meters can be used not only from the supply side monitoring but also for the demand side management as well. It plays an important role to monitor the performance and the energy usage of the grid loadings and power quality. In addition, This paper gives a comprehensive view on the benefit of smart metering in power network such as energy efficiency improvement.
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11

Mahure, Kajal, Komal Hirudkar, Sakshi Manmode, Tushar Choudhari, Aman Morghade, and Mahendra Nakade. "Web Based Smart Metering." International Journal of Innovations in Engineering and Science 6, no. 2 (May 14, 2021): 13–16. http://dx.doi.org/10.46335/ijies.2021.6.2.3.

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12

Nordbø, Per Erik, and Hans Terje Ylvisåker. "SORIA smart metering solution." CIRED - Open Access Proceedings Journal 2017, no. 1 (October 1, 2017): 2910–13. http://dx.doi.org/10.1049/oap-cired.2017.0705.

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13

Schwartz, Tobias, Matthias Betz, and Gunnar Stevens. "Smart Metering für Büroarbeitsplätze." HMD Praxis der Wirtschaftsinformatik 48, no. 2 (April 2011): 104–13. http://dx.doi.org/10.1007/bf03340573.

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14

Jagstaidt, Ullrich C. C., Janis Kossahl, and Lutz M. Kolbe. "Smart Metering Information Management." WIRTSCHAFTSINFORMATIK 53, no. 5 (August 20, 2011): 313–17. http://dx.doi.org/10.1007/s11576-011-0285-z.

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15

Jagstaidt, Ullrich C. C., Janis Kossahl, and Lutz M. Kolbe. "Smart Metering Information Management." Business & Information Systems Engineering 3, no. 5 (August 20, 2011): 323–26. http://dx.doi.org/10.1007/s12599-011-0173-5.

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16

Kebotogetse, Otisitswe, Ravi Samikannu, and Abid Yahya. "Review of key management techniques for advanced metering infrastructure." International Journal of Distributed Sensor Networks 17, no. 8 (August 2021): 155014772110415. http://dx.doi.org/10.1177/15501477211041541.

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The electricity industry has been developed through the introduction of the smart grid. This has brought about two-way communication to the grid and its components. The smart grid has managed to increase the efficiency and reliability of the traditional power grid over the years. A smart grid has a system that is used to measure and collect readings for power consumption reflection, and the system is known as the Advanced Metering Infrastructure. The advanced metering infrastructure has its components too which are the smart metre, metre control system, collector or concentrator and communication networks (wide area network, neighbourhood area network, and home area network). The communication networks in the advanced metering infrastructure have created a vulnerability to cyber-attacks over the years. The reliability of the power grid to consumers relies on the readings from the smart metre, and this brings about the need to secure the smart metre data. This article presents a review of key management methods in advanced metering infrastructure environments. The article begins with an overview of advanced metering infrastructure and then shows the relationship between the advanced metering infrastructure and the smart grid. The review then provides the security issues related to advanced metering infrastructure. Finally, the article provides existing works of key management methods in advanced metering infrastructure and future directions in securing advanced metering infrastructure and the smart grid.
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17

Savickis, J., L. Zemite, I. Bode, and L. Jansons. "Natural Gas Metering and its Accuracy in the Smart Gas Supply Systems." Latvian Journal of Physics and Technical Sciences 57, no. 5 (October 1, 2020): 39–50. http://dx.doi.org/10.2478/lpts-2020-0026.

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AbstractThe successful implementation of smart metering in the European Union (hereinafter – EU) depends on criteria that are mostly determined by the Member States themselves. These criteria cover the regulatory framework and legislation necessary for the establishment and functioning of the smart metering system, the fulfilment of technical and commercial conditions, as well as the security of data collection, archiving and use. The introduction of the smart metering in different Member States has started at different times. In Latvia, its reference point was 2004, when the goal was set to maximise the use of telemetry in the natural gas metering. Currently, in the Latvian natural gas distribution system about 85 % of all consumption data are automatically processed.One of the most important components of the smart natural gas metering is natural gas commercial metering devices (hereinafter – smart meters). They differ in both the principle and type of operation. Depending on the technology used, the metering range changes, and thus the accuracy of the measurements.The article addresses some issues of further successful implementation of smart metering in the Latvian natural gas sector, as well as the measurement accuracy for smart natural gas meters.
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18

Yang, Xue, Peng He Zhang, Sheng Chen, Chun Yu Li, Ya Tao Wang, and Hao Qi Li. "Fault Analysis of Smart Meter Based on Metering Chip Failure Analysis." Applied Mechanics and Materials 568-570 (June 2014): 437–40. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.437.

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Based on the metering principles of smart meter, this paper designed a sub-module function testing system which can analysis the function of smart meter. According to the principle of the bathtub curve, based on the sub-module function test prototype , we accelerated thermal stress test for the metering chip. By comparing the sampling channel data before and after the test, this paper proposed the metering chip failure analysis methods and processes, to find the cause of the failure, and thus form a “smart meter-metering chip-smart meter” failure analysis flow which can using for the smart meter.
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19

Vitiello, Silvia, Nikoleta Andreadou, Mircea Ardelean, and Gianluca Fulli. "Smart Metering Roll-Out in Europe: Where Do We Stand? Cost Benefit Analyses in the Clean Energy Package and Research Trends in the Green Deal." Energies 15, no. 7 (March 23, 2022): 2340. http://dx.doi.org/10.3390/en15072340.

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2020 was a key year for several targets in European energy and climate policy, including the requirement for European countries to deploy smart metering for at least 80% of electricity consumers. This target was set to ease the transition towards a consumer-centered and digitalized energy system. In fact, there are numerous applications that are facilitated or are directly linked to smart meters. Among others: demand response programs that enable consumers to be active in the energy market, and remote grid monitoring by the Distribution System Operator. In this paper, we analyze the initial provisions of the Third Energy Package and those of the Clean Energy Package, with particular focus on the recently approved directive on common rules for the internal market for electricity and the newly introduced smart meters specifications. We present the highlights of the national cost–benefit analyses for smart metering roll-out, focusing on the decisions made by the Member States with respect to a potential smart meter roll-out, that was targeted to be completed by 2020 and present the current situation of smart metering roll-out. We also present and categorize some of the R&I smart grid projects realized over recent years, focusing on the ones that deal with smart metering integration in order to depict the smart metering applications and technologies tested on the ground. Therefore, this paper portrays a full picture with respect to smart meters in Europe today and gives insights for monitoring smart metering roll-outs taking into account the current trends in smart metering applications.
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20

Liu, Ariane, Damien Giurco, and Pierre Mukheibir. "Advancing household water-use feedback to inform customer behaviour for sustainable urban water." Water Supply 17, no. 1 (July 26, 2016): 198–205. http://dx.doi.org/10.2166/ws.2016.119.

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Sustainable water management is increasingly essential in an age characterised by rapid population growth, urban and industrial development and climate change. Opportunities to promote conservation and water-use efficiencies remain attractive in directly reducing water demand. Smart water metering and the provision of detailed water-use feedback to consumers present exciting new opportunities for improved urban water management. This paper explores two smart water metering trials in New South Wales, Australia, which provided household water consumption feedback via (i) paper end-use reports and (ii) an online portal. This combination enabled a deeper exploration of the various impacts of detailed feedback enabled via smart water metering. The positive effects uncovered by the research present an important opportunity for smart water metering feedback to contribute towards more sustainable urban water management. Their summary contributes empirical evidence on the impacts for water utilities considering embarking on the smart water metering journey with their customers. The identification of future research and policy needs sets an agenda for smart water metering to promote a sustainable digital urban water future. Larger-scale trials are now required and utilities should integrate the design and plans for scalable advanced feedback programs at the outset of smart meter implementations.
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21

Kuzmin, P. S. "SMART METERING SYSTEMS: АN EMPIRICAL ANALYSIS OF TECHNOLOGY PERCEPTION FACTORS." Strategic decisions and risk management 12, no. 1 (August 4, 2021): 8–23. http://dx.doi.org/10.17747/2618-947x-2021-1-8-23.

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The use of smart metering systems for electricity is one of the key components of the digital transition in the power industry. Smart metering systems are equipped with modules for collecting, processing, storing, sending and receiving data, and their implementation generates a wide range of effects for electricity companies, electricity consumers, as well as authorities and industry regulators. The functionality of smart metering systems can be significantly expanded when using non-intrusive load monitoring meters. The purpose of this work is to develop a list of factors that have both a positive and a negative impact on the perception of intelligent metering systems technologies both among power companies and end consumers - participants in retail electricity markets.At the first stage of the study, based on the models of E. Rogers and F. Davis, a list of factors influencing the adoption of smart metering technologies by both energy companies and end consumers of electricity was developed. Based on in-depth interviews with experts, the factors were verified and questionnaires were developed for the next stage of the study.At the second stage, a quantitative study was carried out, which made it possible to determine the degree of influence of factors on the adoption of smart metering technology by users.At the end of the work, recommendations were developed to accelerate the distribution of smart metering systems and quickly achieve positive effects from their implementation.
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22

Houche,, Mohamed, Adrien Tessier,, Younes Deffous,, and Jean Francois Authier. "Up-stream smart metering pilot." Qatar Foundation Annual Research Forum Proceedings, no. 2010 (December 13, 2010): EEP28. http://dx.doi.org/10.5339/qfarf.2010.eep28.

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23

Lüdemann, Volker, and Patrick Pokrant. "Die Einwilligung beim Smart Metering." Datenschutz und Datensicherheit - DuD 43, no. 6 (May 22, 2019): 365–70. http://dx.doi.org/10.1007/s11623-019-1123-5.

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24

Rial, Alfredo, George Danezis, and Markulf Kohlweiss. "Privacy-preserving smart metering revisited." International Journal of Information Security 17, no. 1 (November 28, 2016): 1–31. http://dx.doi.org/10.1007/s10207-016-0355-8.

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25

Šastný, Ladislav, Lešek Franek, and Petr Fiedler. "Wireless communications in smart metering." IFAC Proceedings Volumes 46, no. 28 (2013): 330–35. http://dx.doi.org/10.3182/20130925-3-cz-3023.00035.

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26

Taborda, Diogo, António Aires De Matos, José Geria, Samuel Fortunato, and João Silva. "Secondary substations smart metering campaign." CIRED - Open Access Proceedings Journal 2017, no. 1 (October 1, 2017): 2893–96. http://dx.doi.org/10.1049/oap-cired.2017.0664.

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27

Schaub, Th. "Intelligentes Verbrauchsverhalten dank Smart Metering." e & i Elektrotechnik und Informationstechnik 126, no. 10 (October 2009): 365–66. http://dx.doi.org/10.1007/s00502-009-0678-5.

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28

Bariss, Uldis, Lelde Timma, and Dagnija Blumberga. "Smart Metering Pilot Project Results." Energy Procedia 61 (2014): 2176–79. http://dx.doi.org/10.1016/j.egypro.2014.12.103.

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29

Carvalho, Priscila. "Smart Metering Deployment in Brazil." Energy Procedia 83 (December 2015): 360–69. http://dx.doi.org/10.1016/j.egypro.2015.12.211.

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30

Maziku, Theresia B., Kwame S. Ibwe, Abdi Abdalla, and Ellen A. Kalinga. "Smart Electric Meter Deployment in Tanzania: A Survey." Tanzania Journal of Science 47, no. 5 (December 1, 2021): 1743–52. http://dx.doi.org/10.4314/tjs.v47i5.21.

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Using information and communication technologies (ICT) to make the electrical power network intelligent and smarter (smart grid) has been the focal point in transforming electrical power industry. The idea behind smart grid is to transform the Tanzanian power sector into a secure, adaptive, sustainable, and digitally enabled ecosystem that provides reliable and quality energy for all with active participation of stakeholders. Smart metering is a central segment in realizing smart grid. However, a big question is whether Tanzanian power stakeholders are ready for smart metering technology investments for household applications. Operation and maintenance of a smart metering solution is a relatively new business in Tanzania and requires investment in resources and capacity building. A case study was conducted at the utility company in Dar es Salaam offices, to investigate the deployment status and services offered. Fixed tariff rates, high cost, low rates on returns of investment and non-customization of the features, were some of the shortcomings identified by the study in terms of non-deployment in residential homes. Further, the authors, propose development of standardization document for smart metering technologies and the adoption of software based smart meter for residential applications using Internet of Things platform. Its low cost of development and ease installation would be ideal for residential applications. Keywords: Smart grid, Utility Company, Smart meter, Advanced Metering Infrastructure, Deployment Status.
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31

Szabo, Z., P. Marcoň, Z. Roubal, F. Zezulka, I. Veselý, O. Saidl, and L. Lahodny. "Remotely Controlled Smart Metering for the Smart Home." IFAC-PapersOnLine 49, no. 25 (2016): 235–40. http://dx.doi.org/10.1016/j.ifacol.2016.12.040.

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32

RECIOUI, Abdelmadjid, Hassiba DJEMAI, and Farah BOUCENNA. "A Smart Metering Simulation in LABVIEW." Algerian Journal of Signals and Systems 4, no. 2 (December 15, 2019): 89–100. http://dx.doi.org/10.51485/ajss.v4i2.85.

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The smart grid delivers electricity from producers to consumers using two-way digital technology and considers the involvement of the user. The implementation of smart grids should start at the consumer side using smart meters, control devices and a communication link. Smart metering is the bridge between smart buildings and smart grids. It is viewed as a crucial factor for an efficient functioning of the internal electricity market and a successful implementation of the renewable energy and security of supply. The replacement of the currently used electromechanical meters with smart digital meters along with domestic load controllers is identified for better energy conservation at the consumer side .These devices can be remotely read and are able to measure consumption multiple times per day which is beneficial for a good demand response, customer feedback and energy management. The purpose of the present paper is to illustrate how smart meters operate and how their implementation can improve the current grid
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33

Marahatta, Anup, Yaju Rajbhandari, Ashish Shrestha, Ajay Singh, Anup Thapa, Francisco Gonzalez-Longatt, Petr Korba, and Seokjoo Shin. "Evaluation of a LoRa Mesh Network for Smart Metering in Rural Locations." Electronics 10, no. 6 (March 22, 2021): 751. http://dx.doi.org/10.3390/electronics10060751.

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Accompanying the advancement on the Internet of Things (IoT), the concept of remote monitoring and control using IoT devices is becoming popular. Digital smart meters hold many advantages over traditional analog meters, and smart metering is one of application of IoT technology. It supports the conventional power system in adopting modern concepts like smart grids, block-chains, automation, etc. due to their remote load monitoring and control capabilities. However, in many applications, the traditional analog meters still are preferred over digital smart meters due to the high deployment and operating costs, and the unreliability of the smart meters. The primary reasons behind these issues are a lack of a reliable and affordable communication system, which can be addressed by the deployment of a dedicated network formed with a Low Power Wide Area (LPWA) platform like wireless radio standards (i.e., LoRa devices). This paper discusses LoRa technology and its implementation to solve the problems associated with smart metering, especially considering the rural energy system. A simulation-based study has been done to analyse the LoRa technology’s applicability in different architecture for smart metering purposes and to identify a cost-effective and reliable way to implement smart metering, especially in a rural microgrid (MG).
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34

Yan, Lili, Yan Chang, and Shibin Zhang. "A lightweight authentication and key agreement scheme for smart grid." International Journal of Distributed Sensor Networks 13, no. 2 (February 2017): 155014771769417. http://dx.doi.org/10.1177/1550147717694173.

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Smart grid is a modernized electrical grid. It is used to collect information about behaviors of suppliers and consumers and improve the efficiency, reliability, and economics of electricity. Recently, advanced metering infrastructure is proposed as a critical part of the smart grid. The security of advanced metering infrastructure is special importance for smart grid. In order to achieve data confidentiality, privacy, and authentication in advanced metering infrastructure, a lightweight authentication and key agreement scheme is proposed in this article. The scheme provides mutual authentication, key agreement, key refreshment, and multicast mechanism which can prevent various attacks. Furthermore, we analyze the security and performance of the scheme. The analysis shows that the proposed scheme is suitable for smart grid.
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35

Kimambo, Josephina, Kwame S. Ibwe, Ellen Kalinga, and Abdi T. Abdalla. "Resource Efficient Advanced Metering Infrastructure Model." Tanzania Journal of Science 48, no. 1 (March 31, 2022): 57–72. http://dx.doi.org/10.4314/tjs.v48i1.6.

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Advanced Metering Infrastructure (AMI) enables two-way communication between smart devices and utility control centers. This involves remote monitoring and control of energy consumption as well as other parameters in the electrical power network in real time. However, increasing technologies in AMI due to huge deployment of smart meters, integration of devices and application of sensors, demand a strong architectural model with the best network topology to guarantee efficient usage of network resources with minimal latency. In this work, a resource efficient multi-hop network architecture is proposed using hybrid media access protocols. The architecture combines queuing and random-access protocol to achieve optimal network performance. Numerical results show that the probability of delay incurred by an arbitrary smart meter depends on the mean and distribution of the queue switch over a period. It is also observed that for a single queued system, the throughput performance is equal to the existing hybrid method. As the number of smart meters increases to 500, the throughput of the proposed method improves by 10% compared to the existing method. Likewise, as the number of smart meters increases to 500, the delay reduced by 15% compared to the existing method. Keywords: Advanced Metering Infrastructure; hybrid media access protocols; Smart Meter; Smart Grid; Power Network.
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36

Zatsarinnaya, Yu N., and M. O. Grigoreva. "Smart energy systems and smart metering systems in them." IOP Conference Series: Materials Science and Engineering 1035, no. 1 (January 1, 2021): 012009. http://dx.doi.org/10.1088/1757-899x/1035/1/012009.

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37

Kabalci, Yasin. "A survey on smart metering and smart grid communication." Renewable and Sustainable Energy Reviews 57 (May 2016): 302–18. http://dx.doi.org/10.1016/j.rser.2015.12.114.

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38

Campos, Mauricio, Paulo Sausen, Airam Sausen, Luis Sauthier, Alexandre Oliveira, and Samuel Oliveira. "Development Of A Complete System Bidirectional For Smart Metering Applications In Smart Grids." Eletrônica de Potência 21, no. 2 (May 1, 2016): 148–57. http://dx.doi.org/10.18618/rep.2016.2.2619.

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39

Alvisi, Stefano, Francesco Casellato, Marco Franchini, Marco Govoni, Chiara Luciani, Filippo Poltronieri, Giulio Riberto, Cesare Stefanelli, and Mauro Tortonesi. "Wireless Middleware Solutions for Smart Water Metering." Sensors 19, no. 8 (April 18, 2019): 1853. http://dx.doi.org/10.3390/s19081853.

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While smart metering applications have initially focused on energy and gas utility markets, water consumption has recently become the subject of increasing attention. Unfortunately, despite the large number of solutions available on the market, the lack of an open and widely accepted communication standard means that vendors typically propose proprietary data collection solutions whose adoption causes non-trivial problems to water utility companies in term of costs, vendor lock-in, and lack of control on the data collection infrastructure. There is the need for open and interoperable smart water metering solutions, capable of collecting data from the wide range of water meters on the market. This paper reports our experience in the development and field testing of a highly interoperable smart water metering solution, which we designed in collaboration with several water utility companies and which we deployed in Gorino Ferrarese, Italy, in collaboration with CADF (Consorzio Acque Delta Ferrarese), the water utility serving the city. At the core of our solution is SWaMM (Smart Water Metering Middleware), an interoperable wireless IoT middleware based on the Edge computing paradigm, which proved extremely effective in interfacing with several types of smart water meters operating with different protocols.
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40

HAOUCHE, Mohamed, Simon MANSON, Younes DEFFOUS, and Jean-Francois AUTHIER. "Smart metering project: Benefits and lessons." Qatar Foundation Annual Research Forum Proceedings, no. 2012 (October 2012): EEP7. http://dx.doi.org/10.5339/qfarf.2012.eep7.

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41

Marvin, Simon, and Simon Guy. "Smart Metering Technologies and Privatised Utilities." Local Economy: The Journal of the Local Economy Policy Unit 12, no. 2 (August 1997): 119–32. http://dx.doi.org/10.1080/02690949708726380.

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42

Akinbulire, Tolulope Olusegun, Augustus Ehiremen Ibhaze, and Moses Uwakmfon Akpabio. "A review on smart metering infrastructure." International Journal of Energy Technology and Policy 16, no. 3 (2020): 277. http://dx.doi.org/10.1504/ijetp.2020.10027263.

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Ibhaze, Augustus Ehiremen, Moses Uwakmfon Akpabio, and Tolulope Olusegun Akinbulire. "A review on smart metering infrastructure." International Journal of Energy Technology and Policy 16, no. 3 (2020): 277. http://dx.doi.org/10.1504/ijetp.2020.107019.

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44

Wichakool, Warit, Zachary Remscrim, Uzoma A. Orji, and Steven B. Leeb. "Smart Metering of Variable Power Loads." IEEE Transactions on Smart Grid 6, no. 1 (January 2015): 189–98. http://dx.doi.org/10.1109/tsg.2014.2352648.

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45

Neenan, Bernard, and Ross C. Hemphill. "Societal Benefits of Smart Metering Investments." Electricity Journal 21, no. 8 (October 2008): 32–45. http://dx.doi.org/10.1016/j.tej.2008.09.003.

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46

Hellmuth, Nils, and Eva-Maria Jakobs. "Informiertheit und Datenschutz beim Smart Metering." Zeitschrift für Energiewirtschaft 44, no. 1 (March 2020): 15–29. http://dx.doi.org/10.1007/s12398-020-00269-7.

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Gómez Mármol, Félix, Christoph Sorge, Ronald Petrlic, Osman Ugus, Dirk Westhoff, and Gregorio Martínez Pérez. "Privacy-enhanced architecture for smart metering." International Journal of Information Security 12, no. 2 (November 28, 2012): 67–82. http://dx.doi.org/10.1007/s10207-012-0181-6.

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48

Finster, Soren, and Ingmar Baumgart. "Privacy-Aware Smart Metering: A Survey." IEEE Communications Surveys & Tutorials 16, no. 3 (2014): 1732–45. http://dx.doi.org/10.1109/surv.2014.052914.00090.

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Finster, Soren, and Ingmar Baumgart. "Privacy-Aware Smart Metering: A Survey." IEEE Communications Surveys & Tutorials 17, no. 2 (2015): 1088–101. http://dx.doi.org/10.1109/comst.2015.2425958.

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Bernhardt, Klaus. "Smart Metering – ein „nicht“ technischer Blickwinkel." e & i Elektrotechnik und Informationstechnik 131, no. 6 (September 2014): 193–94. http://dx.doi.org/10.1007/s00502-014-0211-3.

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