Relevant bibliographies by topics / Smart metering infrastructure

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

Academic literature on the topic 'Smart metering infrastructure'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Smart metering infrastructure"

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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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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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Baskaran, Hasventhran, Abbas M. Al-Ghaili, Zul Azri Ibrahim, Fiza Abdul Rahim, Saravanan Muthaiyah, and Hairoladenan Kasim. "Data falsification attacks in advanced metering infrastructure." Bulletin of Electrical Engineering and Informatics 10, no. 1 (February 1, 2021): 412–18. http://dx.doi.org/10.11591/eei.v10i1.2024.

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Smart grids are the cutting-edge electric power systems that make use of the latest digital communication technologies to supply end-user electricity, but with more effective control and can completely fill end user supply and demand. Advanced Metering Infrastructure (AMI), the backbone of smart grids, can be used to provide a range of power applications and services based on AMI data. The increased deployment of smart meters and AMI have attracted attackers to exploit smart grid vulnerabilities and try to take advantage of the AMI and smart meter’s weakness. One of the possible major attacks in the AMI environment is False Data Injection Attack (FDIA). FDIA will try to manipulate the user’s electric consumption by falsified the data supplied by the smart meter value in a smart grid system using additive and deductive attack methods to cause loss to both customers and utility providers. This paper will explore two possible attacks, the additive and deductive data falsification attack and illustrate the taxonomy of attack behaviors that results in additive and deductive attacks. This paper contributes to real smart meter datasets in order to come up with a financial impact to both energy provider and end-user.
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Sun, Ying Yun, Ya Xiong You, and Ying Chen. "Metering Infrastructure and its Reference Architecture of Smart Distribution Grid Based on the Domain Model." Applied Mechanics and Materials 385-386 (August 2013): 1030–35. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1030.

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nformation facilities play an important role in guarantee for smart distribution grid (SDG) security and stability, and the SDG metering infrastructure will play guiding role for the construction of SDG information facilities. This paper firstly elaborates the conception of the SDG metering infrastructure from the perspective of demand of information system in SDG, and then analyzes the functional demand and features of metering infrastructure during the development of SDG. Finally this paper proposes the reference architecture of SDG metering infrastructure using the domain in conceptual model of smart grid and has a detailed analysis on the inner-domain data source, data communication channel and data center of reference architecture.
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Suzuki, Hiroshi. "Advanced Metering Infrastructure based on Smart Meters." IEEJ Transactions on Power and Energy 127, no. 9 (2007): 977–80. http://dx.doi.org/10.1541/ieejpes.127.977.

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Hwang, Kwang-il, Young-sik Jeong, and Deok Gyu Lee. "Hierarchical multichannel-based integrated smart metering infrastructure." Journal of Supercomputing 72, no. 7 (May 20, 2015): 2453–70. http://dx.doi.org/10.1007/s11227-015-1441-9.

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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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Teng, Jen-Hao, Chia-Wei Chao, Bin-Han Liu, Wei-Hao Huang, and Jih-Ching Chiu. "Communication Performance Assessment for Advanced Metering Infrastructure." Energies 12, no. 1 (December 28, 2018): 88. http://dx.doi.org/10.3390/en12010088.

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Advanced Metering Infrastructure (AMI), the foundation of smart grids, can be used to provide numerous intelligent power applications and services based on the data acquired from AMI. Effective and efficient communication performance between widely-spread smart meters and Data Concentrator Units (DCUs) is one of the most important issues for the successful deployment and operation of AMI and needs to be further investigated. This paper proposes an effective Communication Performance Index (CPI) to assess and supervise the communication performance of each smart meter. Some communication quality measurements that can be easily acquired from a smart meter such as reading success rate and response time are used to design the proposed CPI. Fuzzy logic is adopted to combine these measurements to calculate the proposed CPI. The CPIs for communication paths, DCUs and whole AMI can then be derived from meter CPIs. Simulation and experimental results for small-scale AMIs demonstrate the validity of the proposed CPI. Through the calculated CPIs, the communication performance and stability for AMI can be effectively assessed and supervised.
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Dema, Merita. "INFRASTRUCTURE AND COMMUNICATION TECHNOLOGIES IN SMART METERING SYSTEMS." Journal of Electrical Engineering and Information Technologies 2, no. 2 (2017): 129–35. http://dx.doi.org/10.51466/jeeit172129d.

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Dissertations / Theses on the topic "Smart metering infrastructure"

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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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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.
+91 9908265578
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Chasempour, Alireza. "Optimizing the Advanced Metering Infrastructure Architecture in Smart Grid." DigitalCommons@USU, 2016. https://digitalcommons.usu.edu/etd/5023.

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Advanced Metering Infrastructure (AMI) is one of the most important components of smart grid (SG) which aggregates data from smart meters (SMs) and sends the collected data to the utility center (UC) to be analyzed and stored. In traditional centralized AMI architecture, there is one meter data management system to process all gathered information in the UC, therefore, by increasing the number of SMs and their data rates, this architecture is not scalable and able to satisfy SG requirements, e.g., delay and reliability. Since scalability is one of most important characteristics of AMI architecture in SG, we have investigated the scalability of different AMI architectures and proposed a scalable hybrid AMI architecture. We have introduced three performance metrics. Based on these metrics, we formulated each AMI architecture and used a genetic-based algorithm to minimize these metrics for the proposed architecture. We simulated different AMI architectures for five demographic regions and the results proved that our proposed AMI hybrid architecture has a better performance compared with centralized and decentralized AMI architectures and it has a good load and geographic scalability.
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Jokar, Paria. "Detection of malicious activities against advanced metering infrastructure in smart grid." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/56294.

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In this thesis we investigate security challenges in smart grid and propose several algorithms for detecting malicious activities against AMI. Our work includes two parts. In the first part, we focus on the problem of intrusion detection in ZigBee HANs. We study the requirements and challenges of designing intrusion detection systems for HANs, and suggest application of model based intrusion detection and automatic intrusion prevention techniques. Accordingly we design algorithms for detecting and preventing spoofing attacks as an important attack type against wireless networks. We extend this work to design an intrusion detection and prevention system for ZigBee HANs, HANIDPS, which is able to detect and automatically stop various attack types. Through extensive experiments and analysis we show that the proposed method is able to detect and stop the attacks with high precision, low cost and short delay, which makes it suitable for HANs. Considering that in HANIDPS the prevention operation is performed automatically, costs of false positives are low and limited to some network overhead. Also the delay in stopping the attacks is significantly shortened compared to when human intervention is required. This reduces the damages caused by possible attacks. In the next part, we focus on detection of cyber intrusions that affect the load curve. We suggest that by monitoring abnormalities in customers' consumption pattern these attacks are detectable. We introduce a consumption pattern based electricity theft detector, CPBETD, which unlike previous techniques is robust against nonmalicious changes in consumption pattern and provides a high and adjustable performance without jeopardizing customers' privacy. Extensive experiments on real dataset of 5000 customers show the effectiveness of our approach. We also introduce instantaneous anomaly detector, IAD, which by monitoring the usage patterns effectively detects attacks against direct and indirect load control which are some of the major concerns in AMI.
Applied Science, Faculty of
Electrical and Computer Engineering, Department of
Graduate
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Deb, Nath Atul Prasad. "Hardware-based Authentication and Security for Advanced Metering Infrastructure." University of Toledo / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1470106841.

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Tonyali, Samet. "Privacy-Preserving Protocols for IEEE 802.11s-based Smart Grid Advanced Metering Infrastructure Networks." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3693.

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The ongoing Smart Grid (SG) initiative proposes several modifications to the existing power grid in order to better manage power demands, reduce CO2 emissions and ensure reliability through several new applications. One part of the SG initiative that is currently being implemented is the Advanced Metering Infrastructure (AMI) which provides two-way communication between the utility company and the consumers' smart meters (SMs). The AMI can be built by using a wireless mesh network which enables multi-hop communication of SMs. The AMI network enables collection of fine-grained power consumption data at frequent intervals. Such a fine-grained level poses several privacy concerns for the consumers. Eavesdroppers can capture data packets and analyze them by means of load monitoring techniques to make inferences about household activities. To prevent this, in this dissertation, we proposed several privacy-preserving protocols for the IEEE 802.11s-based AMI network, which are based on data obfuscation, fully homomorphic encryption and secure multiparty computation. Simulation results have shown that the performance of the protocols degrades as the network grows. To overcome this problem, we presented a scalable simulation framework for the evaluation of IEEE 802.11s-based AMI applications. We proposed several modifications and parameter adjustments for the network protocols being used. In addition, we integrated the Constrained Application Protocol (CoAP) into the protocol stack and proposed five novel retransmission timeout calculation functions for the CoAP in order to increase its reliability. Upon work showing that there are inconsistencies between the simulator and a testbed, we built an IEEE 802.11s- and ZigBee-based AMI testbed and measured the performance of the proposed protocols under various conditions. The testbed is accessible to the educator and researchers for the experimentation. Finally, we addressed the problem of updating SMs remotely to keep the AMI network up-to-date. To this end, we developed two secure and reliable multicast-over-broadcast protocols by making use of ciphertext-policy attribute based signcryption and random linear network coding.
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Blom, Rikard. "Advanced metering infrastructure reference model with automated cyber security analysis." Thesis, KTH, Elkraftteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-204910.

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European Union has set a target to install nearly 200 million smart metersspread over Europe before 2020, this leads into a vast increase of sensitiveinformation flow for Distribution System Operators (DSO’s), simultaneously thisleads to raised cyber security threats. The in and outgoing information of the DSOneeds to be processed and stored by different Information technology (IT)- andOperational Technology (OT)-systems depending on the information. High demandsare therefore required of the enterprise cyber security to be able to protect theenterprise IT- and OT-systems. Sensitive customer information and a variety ofservices and functionality is examples that could be fatal to a DSO if compromised.For instance, if someone with bad intentions has the possibility to tinker with yourelectricity, while you’re away on holiday. If they succeed with the attack and shuttingdown the house electricity, your food stored in your fridge and freezer would mostlikely to be rotted, additionally damage from defrost water leaking could cause severedamaging on walls and floors. In this thesis, a detailed reference model of theadvanced metering architecture (AMI) has been produced to support enterprisesinvolved in the process of implementing smart meter architecture and to adapt to newrequirements regarding cyber security. This has been conduct using foreseeti's toolsecuriCAD, foreseeti is a proactive cyber security company using architecturemanagement. SecuriCAD is a modeling tool that can conduct cyber security analysis,where the user can see how long time it would take for a professional penetrationtester to penetrate the systems in the model depending of the set up and defenseattributes of the architecture. By varying defense mechanisms of the systems, fourscenarios have been defined and used to formulate recommendations based oncalculations of the advanced meter architecture. Recommendation in brief: Use smalland distinct network zones with strict communication rules between them. Do diligentsecurity arrangements for the system administrator PC. The usage of IntrusionProtection System (IPS) in the right fashion can delay the attacker with a percentageof 46% or greater.
Europeiska Unionen har satt upp ett mål att installera nära 200miljoner smarta elmätare innan år 2020, spritt utöver Europa, implementeringen ledertill en rejäl ökning av känsliga dataflöden för El-distributörer och intresset av cyberattacker ökar. Både ingående och utgående information behöver processas och lagraspå olika IT- och OT-system beroende på informationen. Höga krav gällande ITsäkerhet ställs för att skydda till exempel känslig kundinformation samt en mängdvarierande tjänster och funktioner som är implementerade i systemen. Typer avattacker är till exempel om någon lyckats få kontroll over eltillgängligheten och skullestänga av elektriciteten till hushåll vilket skulle till exempel leda till allvarligafuktskador till följd av läckage från frysen. I den här uppsatsen så har en tillräckligtdetaljerad referens modell för smart elmätar arkitektur tagits fram för att möjliggörasäkerhetsanalyser och för att underlätta för företag i en potentiell implementation avsmart elmätare arkitektur. Ett verktyg som heter securiCAD som är utvecklat avforeseeti har använts för att modellera arkitekturen. securiCAD är ett modelleringsverktyg som använder sig av avancerade beräknings algoritmer för beräkna hur långtid det skulle ta för en professionell penetrationstestare att lyckats penetrera de olikasystem med olika sorters attacker beroende på försvarsmekanismer och hurarkitekturen är uppbyggd. Genom att variera systemens försvar och processer så harfyra scenarion definierats. Med hjälp av resultaten av de fyra scenarierna så harrekommendationer tagits fram. Rekommendationer i korthet: Använd små ochdistinkta nätverkszoner med tydliga regler som till exempel vilka system som fårkommunicera med varandra och vilket håll som kommunikationen är tillåten.Noggranna säkerhetsåtgärder hos systemadministratörens dator. Användningen avIPS: er, genom att placera och använda IPS: er på rätt sätt så kan man fördröjaattacker med mer än 46% enligt jämförelser mellan de olika scenarier.
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Torri, Lucas Bortolaso. "Uma proposta de arquitetura extensível para micro medição em Smart Appliances." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2012. http://hdl.handle.net/10183/49747.

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O sistema de energia atual passou por poucas alterações desde sua concepção original, há mais de 100 anos. No entanto, a crescente complexidade da infraestrutura e da demanda global por energia vem criando diversos desafios que a sua constituição original não previa, culminando em problemas como apagões e outras falhas no seu fornecimento. Além disso, nota-se nos últimos anos, principalmente nos países desenvolvidos, uma certa diversificação na matriz energética, incentivando a utilização de fontes de energia renováveis e distribuídas. Isto se deve não apenas ao potencial energético das, mas também visando uma menor utilização de combustíveis fósseis, devido tanto a volatilidade e tendência de alta dos preços do petróleo, mas também pela necessidade de contenção do volume de emissões de gases causadores do efeito estufa. Apesar desta defasagem do sistema de energia contemporâneo, avanços nas áreas de informática, eletrônica embarcada, além das tecnologias empregadas na construção de sensores e atuadores, têm possibilitado a criação de uma rede de energia moderna, automatizada e distribuída. Esta rede, conhecida como Mart Grid, traz novas perspectivas no gerenciamento e na operação dos sistemas de geração, transmissão e distribuição de energia elétrica, inserindo propostas que visam melhorar diversos fatores da rede de energia atual, aumentado sua eficiência, segurança e confiabilidade de transmissão, além da eliminação de obstáculos para a integração em larga escala de fontes de energia distribuídas e renováveis. Este novo paradigma é caracterizado por um fluxo bidirecional de eletricidade e de informações, afim de criar uma rede automatizada e distribuída de energia. Ele incorpora à grade os benefícios da computação distribuída e de comunicações para fornecer informações em tempo real e permitir o equilíbrio quase instantâneo da oferta e da procura dos bens energéticos. Dentro do contexto de Smart Grids, Smart Appliances são uma modernização dos aparelhos eletrodomésticos quanto a sua utilização de energia, de forma que estes sejam capazes de monitorar, proteger e ajustar automaticamente o seu funcionamento às necessidades do proprietário e a disponibilidade deste recurso. Ou seja, estes possuem não apenas características de inteligência, mas também a capacidade de utilizarem as informações disponibilizados no Smart Grid para adaptar seu funcionamento. Apesar do grande interesse despertado em torno destes conceitos, há ainda uma enorme carência de padrões e tecnologias que permitam a criação de tais aparelhos inteligentes inseridos nos ambientes domésticos e prediais. Este trabalho tem por objetivo estudar e conceituar o Smart Grid, pesquisando os grupos existentes que buscam uma padronização deste, bem como conceituar Smart Appliances, avaliando projetos e pesquisas existentes, e, principalmente, propondo uma arquitetura que permita a construção de tais dispositivos. Os requisitos necessários para a criação desta arquitetura são discutidos ao longo da dissertação, bem como as tecnologias necessárias e existentes para permitir sua proposta. Finalmente, o funcionamento bem sucedido, através de uma implementação da mesma, é demonstrado através de diferentes experimentos, avaliando como as características do Smart Grid podem ser utilizadas para criar aparelhos eletrodomésticos capazes de usarem as informações disponíveis para melhorar seu funcionamento.
Since its original conception, for over 100 years, the current energy system has experienced little changes. However, the increasing complexity of the infrastructure, together with the growing global demand for energy, have imposed many challenges that its original constitution did not foresee, which has resulted in problems such as blackouts along with other energy supply failures. Moreover, over the last few years, some diversification in energy generation has been seen, especially in developed countries, encouraging the use of distributed and renewable energy sources. Apart from the energetic potential offered by those sources, it aims to decrease the greenhouse gases emission volume, in addition to reduce dependency on fossil fuels, which tend to increase in price. Despite the lack of upgrades, improvements in the areas of computing, embedded electronics, and technologies employed in sensors and actuators assembly have enabled the creation of a modern automated and distributed power grid. This grid, better known as Smart Grid, enhances several factors of the current power network, bringing new perspectives in electricity management, operation, generation, transmission and distribution. That result in increased efficiency, transmission safety and reliability, additionally eliminating obstacles in large-scale integration of renewable and distributed energy sources. This new paradigm also features a bi-directional electricity and information flow, enabling an automated and distributed energy network that incorporates the grid benefits of distributed computing and communications to provide real-time information and allowing almost instantaneous supply and demand balance of energy goods. Within the context of Smart Grids, Smart Appliances proposes an extension of regular appliances with intelligence and self-awareness of their energy use, so that they are able to monitor, protect and automatically adjust its operation according to the owner's needs and availability of this resource. That is, besides of being smart, they feature ability to use the information available on the Smart Grid to adapt its running behavior. Even though the increased interest around these concepts, there is still a gap of standards and technologies enabling the creation and embedding of intelligent devices in residences and buildings. The present projects attempts to study and conceptualize Smart Grid, surveying existing standardization groups, as well as conceptualize Smart Appliances, evaluating existing projects and research, proposing an architecture allowing the building of such devices. The requirements for this architecture, together with the required and existing technologies to make the implementation feasible, are discussed throughout the project development. Finally, the architecture's successful functioning is demonstrated through an implementation of it, together with different experiments, relying on them to evaluate the Smart Grid characteristics and how appliances can improve their operation based on the information shared throughout the Smart Grid.
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Beussink, Andrew. "Preserving Consumer Privacy on IEEE 802.11s-Based Smart Grid AMI Networks." OpenSIUC, 2014. https://opensiuc.lib.siu.edu/theses/1383.

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While the newly envisioned smart grid will result in a more efficient and reliable power grid, its use of fine-grained meter data has widely raised concerns of consumer privacy. This thesis implements a data obfuscation approach to preserve consumer privacy and assesses its feasibility on a large-scale advanced metering infrastructure (AMI) network built upon the new IEEE 802.11s wireless mesh standard. This obfuscation approach preserves consumer privacy from eavesdroppers and the utility companies while preserving the utility companies' ability to use the fine-grained meter data for state estimation. The impact of this privacy approach is assessed based on its impact on data throughput and delay performance. Simulation results have shown that the approach is feasible to be used even when the network size grows. Additional adaptations to the approach are analyzed for their feasibility in further research.
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Blakely, Logan. "Spectral Clustering for Electrical Phase Identification Using Advanced Metering Infrastructure Voltage Time Series." Thesis, Portland State University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=10980011.

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The increasing demand for and prevalence of distributed energy resources (DER) such as solar power, electric vehicles, and energy storage, present a unique set of challenges for integration into a legacy power grid, and accurate models of the low-voltage distribution systems are critical for accurate simulations of DER. Accurate labeling of the phase connections for each customer in a utility model is one area of grid topology that is known to have errors and has implications for the safety, efficiency, and hosting capacity of a distribution system. This research presents a methodology for the phase identification of customers solely using the advanced metering infrastructure (AMI) voltage timeseries. This thesis proposes to use Spectral Clustering, combined with a sliding window ensemble method for utilizing a long-term, time-series dataset that includes missing data, to group customers within a lateral by phase. These clustering phase predictions validate over 90% of the existing phase labels in the model and identify customers where the current phase labels are incorrect in this model. Within this dataset, this methodology produces consistent, high-quality results, verified by validating the clustering phase predictions with the underlying topology of the system, as well as selected examples verified using satellite and street view images publicly available in Google Earth. Further analysis of the results of the Spectral Clustering predictions are also shown to not only validate and improve the phase labels in the utility model, but also show potential in the detection of other types of errors in the topology of the model such as errors in the labeling of connections between customers and transformers, unlabeled residential solar power, unlabeled transformers, and locating customers with incomplete information in the model. These results indicate excellent potential for further development of this methodology as a tool for validating and improving existing utility models of the low-voltage side of the distribution system.

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Books on the topic "Smart metering infrastructure"

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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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Book chapters on the topic "Smart metering infrastructure"

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Beck, Michael Till, Hermann de Meer, Stefan Schuster, and Martin Kreuzer. "Estimating Photo-Voltaic Power Supply without Smart Metering Infrastructure." In Energy-Efficient Data Centers, 25–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55149-9_3.

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Longe, Omowunmi M., Khmaies Ouahada, Hendrick C. Ferreira, and Suvendi Rimer. "Wireless Sensor Networks and Advanced Metering Infrastructure Deployment in Smart Grid." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 167–71. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08368-1_20.

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Philips, Anita, J. Jayakumar, and M. Lydia. "A Review on Cyber Security in Metering Infrastructure of Smart Grids." In Computational Methods and Data Engineering, 117–32. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6876-3_10.

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Han, Wenlin, and Yang Xiao. "Non-Technical Loss Fraud in Advanced Metering Infrastructure in Smart Grid." In Cloud Computing and Security, 163–72. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48674-1_15.

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Singh, Jaya, Yuvaraj Rajendra, Venkatesan Subramanian, and Om Prakash Vyas. "A Lightweight Authentication and Key Establishment Scheme for Smart Metering Infrastructure." In Communications in Computer and Information Science, 102–14. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-84842-2_8.

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Kulkarni, Shreyas, R. K. Rahul, R. Shreyas, S. Nagasundari, and Prasad B. Honnavalli. "MITM Intrusion Analysis for Advanced Metering Infrastructure Communication in a Smart Grid Environment." In Communications in Computer and Information Science, 256–67. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66763-4_22.

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Freudenmann, Christian, Dominik Henneke, Christian Kudera, Markus Kammerstetter, Lukasz Wisniewski, Christoph Raquet, Wolfgang Kastner, and Jürgen Jasperneite. "Open and Secure: Amending the Security of the BSI Smart Metering Infrastructure to Smart Home Applications via the Smart Meter Gateway." In IFIP Advances in Information and Communication Technology, 136–46. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66553-5_10.

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Chakraborty, Manali, Shalini Chakraborty, and Nabendu Chaki. "Architectural Design-Based Compliance Verification for IoT-Enabled Secure Advanced Metering Infrastructure in Smart Grid." In Advances in Intelligent Systems and Computing, 35–55. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8969-6_3.

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Rubio, Juan E., Cristina Alcaraz, and Javier Lopez. "Selecting Privacy Solutions to Prioritise Control in Smart Metering Systems." In Critical Information Infrastructures Security, 176–88. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71368-7_15.

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Passos, Diego, Guilherme Rolim, Igor Ribeiro, Igor Moraes, and Célio Albuquerque. "Robust Advanced Metering Infrastructures and Networks for Smart Grid." In Energy Systems in Electrical Engineering, 551–605. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1768-2_16.

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Conference papers on the topic "Smart metering infrastructure"

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Tsukamoto, Y., S. Kurosawa, and T. Inoue. "Smart Metering Infrastructure in Japan." In 10th International Conference on Advances in Power System Control, Operation & Management (APSCOM 2015). Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/ic.2015.0260.

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Khan, Mohammed Farooque, Amit Jain, V. Arunachalam, and A. Paventhan. "Communication technologies for smart metering infrastructure." In 2014 IEEE Students' Conference on Electrical, Electronics and Computer Science (SCEECS). IEEE, 2014. http://dx.doi.org/10.1109/sceecs.2014.6804427.

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Rodriguez-Diaz, Enrique, Emilio J. Palacios-Garcia, Mehdi Savaghebi, Juan C. Vasquez, Josep M. Guerrero, and Antonio Moreno-Munoz. "Advanced smart metering infrastructure for future smart homes." In 2015 IEEE 5th International Conference on Consumer Electronics - Berlin (ICCE-Berlin). IEEE, 2015. http://dx.doi.org/10.1109/icce-berlin.2015.7391260.

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Bikmetov, Ravil, M. Yasin Akhtar Raja, Khurram Kazi, Badrul Chowdhury, and Johan Enslin. "Dynamic prediction capabilities of Smart Metering Infrastructure." In 2015 North American Power Symposium (NAPS). IEEE, 2015. http://dx.doi.org/10.1109/naps.2015.7335235.

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Salpekar, Moreshwar. "Protecting Smart Grid and Advanced Metering Infrastructure." In 2018 2nd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, 2018. http://dx.doi.org/10.1109/i-smac.2018.8653793.

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Li, Dan, and Bo Hu. "Advanced metering standard infrastructure for smart grid." In 2012 China International Conference on Electricity Distribution (CICED). IEEE, 2012. http://dx.doi.org/10.1109/ciced.2012.6508429.

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Selvam, Chenthamarai, Kota Srinivas, G. S. Ayyappan, and M. Venkatachala Sarma. "Advanced metering infrastructure for smart grid applications." In 2012 International Conference on Recent Trends in Information Technology (ICRTIT). IEEE, 2012. http://dx.doi.org/10.1109/icrtit.2012.6206777.

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Abdulla, Ghassan. "The deployment of advanced metering infrastructure." In 2015 First Workshop on Smart Grid and Renewable Energy (SGRE). IEEE, 2015. http://dx.doi.org/10.1109/sgre.2015.7208738.

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Kavithakumari, K. S., P. Pravina Paul, and E. CatherineAmalaPriya. "Advance metering infrastructure for smart grid using GSM." In 2017 Third International Conference on Science Technology Engineering & Management (ICONSTEM). IEEE, 2017. http://dx.doi.org/10.1109/iconstem.2017.8261396.

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Chen, Shudong, Johan Lukkien, and Liang Zhang. "Service-oriented Advanced Metering Infrastructure for Smart Grids." In 2010 Asia-Pacific Power and Energy Engineering Conference. IEEE, 2010. http://dx.doi.org/10.1109/appeec.2010.5448792.

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Reports on the topic "Smart metering infrastructure"

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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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