Relevant bibliographies by topics / Smart metering

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Smart metering'

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

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Journal articles on the topic "Smart metering"

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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Smart metering"

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Lahodný, Libor. "Smart metering." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-241047.

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Semester paper describes the design of smart sockets and their management. Sockets are wirelessly controlled by a central unit. The socket has an integrated sensor, designed to measure current consumption of the device. If necessary, it can remotely disconnect the unit plugged in socket from AC network. Work includes analysis of individual system elements, design of electrical schematics and PCB. In the construction is included ethernet module, which is used to display data using a computer.. The device has been constructed and tested.
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Vadda, Praveen, and Sreerama Murthy Seelam. "Smart Metering for Smart Electricity Consumption." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2476.

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In recent years, the demand for electricity has increased in households with the use of different appliances. This raises a concern to many developed and developing nations with the demand in immediate increase of electricity. There is a need for consumers or people to track their daily power usage in houses. In Sweden, scarcity of energy resources is faced during the day. So, the responsibility of human to save and control these resources is also important. This research work focuses on a Smart Metering data for distributing the electricity smartly and efficiently to the consumers. The main drawback of previously used traditional meters is that they do not provide information to the consumers, which is accomplished with the help of Smart Meter. A Smart Meter helps consumer to know the information of consumption of electricity for appliances in their respective houses. The aim of this research work is to measure and analyze power consumption using Smart Meter data by conducting case study on various households. In addition of saving electricity, Smart Meter data illustrates the behaviour of consumers in using devices. As power consumption is increasing day by day there should be more focus on understanding consumption patterns i.e. measurement and analysis of consumption over time is required. In case of developing nations, the technology of employing smart electricity meters is still unaware to many common people and electricity utilities. So, there is a large necessity for saving energy by installing these meters. Lowering the energy expenditure by understanding the behavior of consumers and its correlation with electricity spot prices motivated to perform this research. The methodology followed to analyze the outcome of this study is exhibited with the help of a case analysis, ARIMA model using XLSTAT tool and a flattening technique. Based on price evaluation results provided in the research, hypothesis is attained to change the behavior of consumers when they have better control on their habits. This research contributes in measuring the Smart Meter power consumption data in various households and interpretation of the data for hourly measurement could cause consumers to switch consumption to off-peak periods. With the results provided in this research, users can change their behavior when they have better control on their habits. As a result, power consumption patterns of Smart electricity distribution are studied and analyzed, thereby leading to an innovative idea for saving the limited resource of electrical energy.
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Günther, Niklas, and Christoph Mengs. "Smart Metering: Einsparpotentiale für Kommunen?" Universität Leipzig, 2018. https://ul.qucosa.de/id/qucosa%3A34234.

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Der KOMKIS Report fasst die Ergebnisse einer Kurzstudie zusammen, die methodisch mit Hilfe eines teilstandardisierten Leitfadeninterviews mit Experten zu Smart Metering im kommunalen Kontext geführt wurde. Ziel war es, explorativ erste Einschätzungen für den aktuell erfolgenden Smart Meter Rollout für Kommunen in Sachsen zu erhalten. Ei-nerseits ist das Ergebnis, dass ein erneuter Strukturwandel in der Stromwirtschaft be-vorsteht, der jedoch aus Sicht der Experten noch offen für die einzelnen Marktakteure ist. Andererseits ist klar, dass sowohl das kommunale Energiemanagement als auch die kommunalen öffentlichen Unternehmen in der Energiewirtschaft mit neuen Chancen und Risiken konfrontiert sind, die es zu gestalten gilt.
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He, Yan. "Smart metering infrastructure for distribution network operation." Thesis, Cardiff University, 2016. http://orca.cf.ac.uk/97536/.

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With the increasing demand for energy throughout the world and the associated environmental problems, the development of a highly efficient and environmentally friendly Smart Grid has become an important objective worldwide. In Great Britain, the Smart Grid has been primarily focused on the distribution networks and smart metering is widely considered as a critical step towards the Smart Grid future. Conventionally, the communications infrastructure at the distribution level is very limited in terms of functionality and availability. There was very limited work to evaluate the impact of the communications performance of smart metering infrastructure on distribution network operation. This research investigated the impact of smart metering applications on communications requirements and the impact of the communications performance of smart metering infrastructure on distribution network operation. A smart metering communications infrastructure was modelled and simulated using OPNET. The impact of smart metering applications on smart metering communications requirements has been investigated. It is shown that individual communications requirements for smart meters are not particularly communications intensive and that infrequent large transactions posed the most significant challenges on the communications infrastructure. As the link speed decreased, large time delays were observed which have direct impact on the functions related to distribution network operations. An evaluation method was then developed to quantify the impact of smart metering communications infrastructure on distribution network operation. The main characteristics of the smart metering communications infrastructure were modelled. The characteristics of load variation were analysed and used to quantify the relationship between the time delay and the measurement error of the power system. The measured data from smart meters was refined to be used by the distribution network operational functions using state estimation and the impact was quantified using optimal power flow. Results show that fast data access is necessary for smart meter data to be used by the voltage control and the power control functions of a distribution network. The potential of using smart metering for outage management was investigated. A topology analysis method was developed which maps the physical plant model of a distribution network to a simplified analytical model. An outage area identification algorithm was developed which uses the information from smart meters and is based on the simplified network model. The outage area identification can act as one of the main functions of an outage management system providing possible outage extent information. The impact of smart meter communications on the outage area identification algorithm was investigated based on the OPNET communications model. Test results showed that smart metering has a potential to support outage management of a power distribution network. Test results showed that the arrival criterion and the smart metering communications infrastructure have a large impact on the performance of the outage area identification.
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Lőrincz, Máté János. "Narrowing the gap between smart metering and everyday life : comfort, cleanliness and smart metering technologies in undergraduate students' households." Thesis, Keele University, 2017. http://eprints.keele.ac.uk/4364/.

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Smart meters measure aggregate energy consumption for an entire building. Recent literature suggests that disaggregated information describing appliance-by-appliance electricity consumption is more effective than aggregate information (Kelly et al. 2016, Fisher 2008). The thesis therefore investigates the potential for aggregated and disaggregated energy metering data but takes a different angle by trying to understand how newly established student households use energy in their daily lives and whether this can be changed with smart electricity display meters. The interdisciplinary methodology involved video recorded guided tours, focus groups, semi-structured interviews, photographs, video diaries and metered energy data. The data was collected in three phases. Initially, a video recorded guided tour was carried out in each student household to find out how students are sensing their environments as they move inside the house and how they are maintaining these environments through the sensory aesthetic of the home. This was followed by focus group sessions and semi-structured interviews in each household to find out how electricity was implicated in everyday practices. Next, students received three different types of smart electricity display monitors, aimed at assessing the implication of disrupting practices by real-time metering feedback. The central finding of this work is that practices-that-consume energy cannot be reduced to attitudes or intentions. This finding is nuanced by an extended discussion on the relationship between practices and the temporal structuring of practices. The research identifies other types of feedback (such as social, material and sensory) that influence the energy use in practices or substitute practices for other non-energy using practices, suggesting that there are no simple technological or behavioural fixes. More profoundly, this thesis suggests that policy should focus on connection between practices, rather than technological performance or what consumers think about electricity display monitors. The thesis concludes by discussing a re-framing of policy expectations; identifying the ways in which smart metering data could target domestic practices and its influencing elements potentially constrain or catalyse a transition towards a more sustainable way of living.
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Chen, Qipeng. "Gaining insight into the smart grid by analysing smart metering data." Thesis, University of Bristol, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.702864.

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By 2020, the majority of EU and US consumers will have smart meters installed. This thesis considers the exploitation of the potential to analyse smart metering data to help gain insight into the medium voltage electrical power systems' operating conditions, the low voltage electrical' power systems' topology information and consumers' power consumption habits. Distribution system state estimation can estimate a medium voltage system's electrical quantities. Its inputs involve transformers' loads that can be given by the aggregation of smart metering data. However, such loads have errors due to the lack of synchronisation among smart meters, the power loss in low voltage systems and the delay of meter data collection, so the subsequent impact of these three issues on the performance of the distribution system state estimation in MV systems are analysed, in order to determine whether they are barriers to gaining insight into these systems' operating conditions. The results show that: the first issue does not show a clear affect; the impact of the second issue is obvious; and the third issue significantly degrades the state estimation performance. To increase the insight into a low voltage system's topology, a phase identification method is designed and a topology identification technique is studied. The benefit of topology identification for state estimation is further assessed - limited benefit is shown, especially when the smart metering data used has low accuracy. The utility companies can provide specialised services to guide their electricity consumers to correctly control their own power demand, so power systems' energy efficiency may be increased. This requires the knowledge about consumers' power consumption habits. Therefore, in this work such knowledge is discovered from consumers' smart metering, socio-demographic and other data by three rule induction techniques. It is shown how, for example, those consumers with high potential for peak demand shifting can be targeted.
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Gregor, Filip. "Demonstrační úloha zaměřující se na problematiku Smart Metering." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442366.

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The thesis deals with PLC technology and issues with Smart Metering. In the theoretical part, a principle of technology's functionality and its advantages and disadvantages were described. In the experimental part methodology of data concentrator and electric meters was designed. In addition, extensive testing set according to capturing of DLMS communication, link quality influencing, reading registers of meters were realized. In the second experimental part limits of communications between broadband BPL modems were detected by the power line communication hardware channel emulator. Measurement of throughput, latency, frame loss passed off according to RCF 2544, RFC 6349 recommendation and according to the methodology of TCP Throughput In the last part, two laboratory exercises were created, first one deals with Smart Metering system and communication between the data concentrator and electric meters and the second one deals with communication among broadband BPL modems not only for Smart Metering purposes.
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Lewis, Richard Peter. "Smart electricity metering : hardware development and socioeconomic aspects." Thesis, Swansea University, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678602.

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Lee, Ping Kwong. "A practical role of smart metering in smart grids development and applications." Thesis, City University London, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.591912.

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The thesis explores and presents a practical and potential approach about smart meters in future smart micro grid and power grid applications. Digital electronic meters have been introduced into the markets for quite some time but they are mainly used in power and energy applications. However, they can be further extended and be fully utilized to support the smart power grid and micro grid development. People knew that "smart meters" are typically used for power utilities. However. they can be used as smart interface between power grid and micro grid for multiple sites peak demand response and renewable distributed generation. In this thesis, a practical approach will be introduced from the design to the applications to enhance the energy efficiency of power and micro grids. The smart metering system design architecture from power grid and micro grid will be introduced. Besides, the practical role of smart meters in power quality and energy efficiency application for distributed generation from micro grid will be demonstrated. Future development idea from power quality and energy data mining to expert system will be proposed to enhance the smart grid application as well . Nowadays, many theories are introduced in smart metering system to support smart grid development. In this thesis, the author introduces the smart metering contribution from the practical point of view. It will provide so lid references when engineers try to plan and design their smart micro or power grids. Some of the important points for the system planning and design will be highlighted for future work and consideration. Also, some measurement result from the real applications will be introduced to demonstrate the contributions made to the energy conservation and demand response. Although smart grid is still under discussion, evaluation, development and planning in many countries, the role of smart metering is not clearly defined for recommendation. However, the author implemented few major applications based on the existing infrastructure to conclude that some new areas are proven to be applicable to improve power quality, reliability, demand response and energy efficiency of smart grids.
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Anjos, Reginaldo Silva dos. "SGMIee â Software de GestÃo da MediÃÃo Inteligente de Energia ElÃtrica." Universidade Federal do CearÃ, 2013. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=11053.

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CoordenaÃÃo de AperfeiÃoamento de Pessoal de NÃvel Superior
A modernizaÃÃo dos sistemas elÃtricos de potÃncia à nos dias atuais um tema de relevÃncia, com destaque à participaÃÃo do consumidor na geraÃÃo de energia elÃtrica e gestÃo da energia consumida. A automaÃÃo da MediÃÃo Inteligente à uma das principais vertentes e o precursor das Redes ElÃtricas Inteligentes. Considerando-se este cenÃrio, neste trabalho, apresenta-se um software de gestÃo da mediÃÃo inteligente de energia elÃtrica, denominado SGMIee. Trata-se de uma ferramenta computacional, desenvolvida com tecnologias computacionais de cÃdigo aberto e gratuito, utilizada para a aquisiÃÃo, armazenamento, processamento, visualizaÃÃo e gerenciamento das informaÃÃes registradas em uma infraestrutura de mediÃÃo inteligente de eletricidade. A plataforma Java e a estrutura de banco de dados MySQL sÃo as principais tecnologias utilizadas no desenvolvimento do software. O SGMIee tem sido aplicado a um sistema de mediÃÃo inteligente de energia elÃtrica instalado na infraestrutura do Departamento de Engenharia ElÃtrica (DEE), do Centro de Tecnologia (CT), da Universidade Federal do Cearà (UFC). O sistema de mediÃÃo inteligente de energia elÃtrica utilizado à composto por 05 unidades de medidores eletrÃnicos inteligentes trifÃsicos, 01 unidade de interface de comunicaÃÃo sem fio, 01 unidade de interface de comunicaÃÃo via porta Ãtica e 01 unidade de equipamento In-Home Display (IHD). A infraestrutura de mediÃÃo inteligente à baseada em uma rede RF e disposta em uma topologia Mesh, sendo utilizados os protocolos ABNT NBR 14522 e ZigBee para a realizaÃÃo da comunicaÃÃo entre os equipamentos do sistema. Dados coletados de 05 medidores eletrÃnicos, instalados em quadros de distribuiÃÃo de baixa tensÃo nas unidades do DEE, foram utilizados para testar e validar as funcionalidades do software proposto, sendo considerados aspectos normativos nacionais da Ãrea durante as anÃlises dos resultados obtidos. As funcionalidades sobre pÃgina fiscal, consumo, faltas de energia, alarmes e grÃficos foram implementadas no SGMIee, possibilitando-se o gerenciamento energÃtico baseado em dados de mediÃÃes e alarmes consultados de forma instantÃnea ou atravÃs de histÃrico. ApÃs as anÃlises, observou-se que os objetivos definidos para o SGMIee foram atendidos, sendo a disponibilizaÃÃo de uma ferramenta computacional para gerir os dados de mediÃÃes de parÃmetros elÃtricos, integrada a um cenÃrio de mediÃÃo inteligente de eletricidade a principal contribuiÃÃo deste trabalho.
The modernization of electric power systems is nowadays a topic of relevance, with emphasis on consumer participation in power generation and management of energy consumption. The automation of Smart Metering is one of the main aspects and the precursor of Smart Grids. Considering this scenario, this paper presents electricity smart metering management software, called SGMIee. It is a computational tool developed with free and open source technologies, used for the acquisition, storage, processing, display and management of recorded information in a smart metering infrastructure for electricity. The Java platform and structure of MySQL database are the main technologies used in software development. The SGMIee has been applied to a smart metering of electricity infrastructure installed in the Department of Electrical Engineering (DEE), the Technology Center (TC), Federal University of Cearà (UFC). The smart metering system used is composed of 05 three-phase smart meters units, 01 wireless communication interface unit, 01 optical interface unit and 01 In-Home Display (IHD) unit. The smart metering infrastructure is based on a RF network and willing in a Mesh topology, protocols being used ABNT NBR 14522 and ZigBee for the realization of communication between the system equipment. Data collected from 05 smart meters installed in low voltage switchboards units DEE, were used to test and validate the functionality of the proposed software, and are considered national normative aspects of the area during the analysis of the results obtained. The features about summary snapshot of electrical quantities measured, consumption, power outages, alarms and charts were implemented in SGMIee, enabling the power management based on measurement data and alarms consulted instantaneously or through history. After the analyzes, it was observed that the objectives for the SGMIee were achieved and the availability of a computational tool for managing measurement data of electrical parameters, integrated with a scenario of electricity smart metering the main contribution of this work.
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Books on the topic "Smart metering"

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Efkarpidis, Nikolaos, Martin Geidl, Holger Wache, Marco Peter, and Marc Adam. Smart Metering Applications. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05737-3.

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Weranga, K. S. K., Sisil Kumarawadu, and D. P. Chandima. Smart Metering Design and Applications. Singapore: Springer Singapore, 2014. http://dx.doi.org/10.1007/978-981-4451-82-6.

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Doris, Elizabeth. Government program briefing: Smart metering. Golden, CO: National Renewable Energy Laboratory, 2011.

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Meinecke, Christopher. Potentiale und Grenzen von Smart Metering. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-16064-7.

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Schäfer, Christian. Smart Metering: Evaluation effizienter Architekturen und Technologien. Hamburg: disserta Verlag, 2015.

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Borges de Oliveira, Fábio. On Privacy-Preserving Protocols for Smart Metering Systems. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-40718-0.

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Victoria. Office of the Auditor-General. Towards a 'smart grid': The roll-out of Advanced Metering Infrastructure. Melbourne, Vic: Victorian Government Printer, 2009.

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Kalteis, Michael. Neue Technologien und netzbasierte Medien als Herausforderungen des Datenschutzrechts: Untersuchungen am Beispiel von Cloud Computing, Smart Metering und dem Einsatz mobiler Apps. Wien: Verlag Österreich, 2014.

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Office of the Auditor-General of Zimbabwe. Report of the Auditor-General on the management of prepayment and smart metering project by Zimbabwe Electricity Transmission and Distribution Company (ZETDC) a subsidiary of ZESA Holdings (Private) Limited under the Ministry of Energy and Power Development. Harare: Office of the Auditor-General, 2017.

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Smart Metering Handbook. Pennwell Books, 2013.

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Book chapters on the topic "Smart metering"

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Efkarpidis, Nikolaos, Martin Geidl, Holger Wache, Marco Peter, and Marc Adam. "Smart Metering Applications." In Smart Metering Applications, 13–124. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05737-3_3.

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Coelho, Paulo, Mário Gomes, and Carlos Moreira. "Smart Metering Technology." In Microgrids Design and Implementation, 97–137. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98687-6_4.

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Weranga, Kasun, Sisil Kumarawadu, and D. P. Chandima. "Smart Metering Applications." In SpringerBriefs in Applied Sciences and Technology, 115–24. Singapore: Springer Singapore, 2013. http://dx.doi.org/10.1007/978-981-4451-82-6_6.

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Dąbrowski, Łukasz Dawid. "Smart metering systems." In The European Union Digital Single Market, 92–110. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003262534-5.

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Efkarpidis, Nikolaos, Martin Geidl, Holger Wache, Marco Peter, and Marc Adam. "Introduction." In Smart Metering Applications, 1–6. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05737-3_1.

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Efkarpidis, Nikolaos, Martin Geidl, Holger Wache, Marco Peter, and Marc Adam. "Current Status of Smart Metering Applications." In Smart Metering Applications, 125–31. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05737-3_4.

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Efkarpidis, Nikolaos, Martin Geidl, Holger Wache, Marco Peter, and Marc Adam. "Smart Meter Deployments and Regulations in Europe." In Smart Metering Applications, 7–12. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05737-3_2.

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Efkarpidis, Nikolaos, Martin Geidl, Holger Wache, Marco Peter, and Marc Adam. "Discussions and Conclusion." In Smart Metering Applications, 133–35. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05737-3_5.

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Weranga, Kasun, Sisil Kumarawadu, and D. P. Chandima. "Smart Grid and Smart Metering." In SpringerBriefs in Applied Sciences and Technology, 1–15. Singapore: Springer Singapore, 2013. http://dx.doi.org/10.1007/978-981-4451-82-6_1.

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Bhargav, Parth, Fahad Nishat, Umar Ahmad Ansari, and O. V. Gnana Swathika. "IoT-Based Smart Metering." In Smart Buildings Digitalization, 103–9. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003240853-10.

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Conference papers on the topic "Smart metering"

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Geetha, A., and K. Jamuna. "Smart metering system." In 2013 International Conference on Information Communication and Embedded Systems (ICICES 2013). IEEE, 2013. http://dx.doi.org/10.1109/icices.2013.6508368.

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Tritschler, M. "Securing smart metering." In IET Seminar on Smart Metering 2010: Delivering a Smart UK. IET, 2010. http://dx.doi.org/10.1049/ic.2010.0052.

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S, Meikandasivam, Vijayakumar D, Kavitha B R, Palanisamy K, and Prateek Gupta. "Smart Metering System." In 2021 Innovations in Power and Advanced Computing Technologies (i-PACT). IEEE, 2021. http://dx.doi.org/10.1109/i-pact52855.2021.9696950.

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Openshaw, D. "Smart Grid opportunities from smart metering." In IET Conference on Smart Grid 2010: Making it a reality. IET, 2010. http://dx.doi.org/10.1049/ic.2010.0074.

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Cowburn, J. "Smart metering/smart grids standards development." In IET Conference on Power in Unity: a Whole System Approach. Institution of Engineering and Technology, 2013. http://dx.doi.org/10.1049/ic.2013.0146.

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Jawurek, Marek, Martin Johns, and Konrad Rieck. "Smart metering de-pseudonymization." In the 27th Annual Computer Security Applications Conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2076732.2076764.

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Cleemput, Sara, Mustafa A. Mustafa, and Bart Preneel. "High Assurance Smart Metering." In 2016 IEEE 17th International Symposium on High Assurance Systems Engineering (HASE). IEEE, 2016. http://dx.doi.org/10.1109/hase.2016.41.

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Singh, Tarry, and Pavan Kuman Vara. "Smart Metering the Clouds." In 2009 18th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises (WETICE). IEEE, 2009. http://dx.doi.org/10.1109/wetice.2009.49.

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Rial, Alfredo, and George Danezis. "Privacy-preserving smart metering." In the 10th annual ACM workshop. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2046556.2046564.

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Hale, Matthew, Prabir Barooah, Kendall Parker, and Kasra Yazdani. "Differentially Private Smart Metering." In the 1st ACM International Workshop. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3363459.3363530.

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Reports on the topic "Smart metering"

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Doris, Elizabeth, and Kim Peterson. Government Program Briefing: Smart Metering. Office of Scientific and Technical Information (OSTI), September 2011. http://dx.doi.org/10.2172/1025652.

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Author, Not Given. Long Island Smart Metering Pilot Project. Office of Scientific and Technical Information (OSTI), March 2012. http://dx.doi.org/10.2172/1052993.

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Iorga, Michaela, and Scott Shorter. Advanced Metering Infrastructure Smart Meter Upgradeability Test Framework. National Institute of Standards and Technology, March 2015. http://dx.doi.org/10.6028/nist.ir.7823.

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Smart Metering Road Map for Nepal. Manila, Philippines: Asian Development Bank, January 2019. http://dx.doi.org/10.22617/tcs189790-2.

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