Relevant bibliographies by topics / Smart energy meter

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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 energy meter'

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

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Journal articles on the topic "Smart energy meter"

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Babu, A. Narendra, Ch V. L. D. Kavya, A. Praneetha, T. T. Sai Dhanush, T. V. Ramanaiah, K. Nidheesh, and P. S. Brahmanandam. "Smart Energy Meter." Indian Journal Of Science And Technology 15, no. 29 (August 5, 2022): 1451–57. http://dx.doi.org/10.17485/ijst/v15i29.1241.

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Shinde, Mrs Sandhya, Mr Yogesh Yadav, and Miss Bharti Sontakke Miss Pratiksha Zapake. "IoT Based Smart Energy Meter." International Journal of Trend in Scientific Research and Development Volume-1, Issue-6 (October 31, 2017): 1151–53. http://dx.doi.org/10.31142/ijtsrd5761.

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Joshi, Dr Shreedhar A., Srijay Kolvekar, Y. Rahul Raj, and Shashank Singh Singh. "IoT Based Smart Energy Meter." Bonfring International Journal of Research in Communication Engineering 6, Special Issue (November 30, 2016): 89–91. http://dx.doi.org/10.9756/bijrce.8209.

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Akare, Ujawal Rajhans, Adit Dilip Keole, Nikhil Santosh Bahakar, and Rohit Manohan Paunikar. "Smart Energy Meter." International Journal of Innovations in Engineering and Science 6, no. 7 (June 15, 2021): 01–03. http://dx.doi.org/10.46335/ijies.2021.6.7.1.

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Jose K, Jithin, Leneesh Mohan, Nijeesh U K, and Tony C Benny. "Smart Energy Meter." International Journal of Engineering Trends and Technology 22, no. 4 (April 25, 2015): 179–82. http://dx.doi.org/10.14445/22315381/ijett-v22p238.

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Dr. Ananth.J P and Premnath.S P, Dr Belsam Jeba Ananth M. "Smart Energy Meter." International Journal for Modern Trends in Science and Technology 6, no. 12 (December 4, 2020): 125–28. http://dx.doi.org/10.46501/ijmtst061224.

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In present time Electricity is the necessary thing in the world for human life. Today every home, offices, companies, industries have electricity connection. So here this project is building only for interfacing electricity energy meter with microcontrollers. The main aim of the project is identifying the current meter reading and intimating the user when they are crossing the certain limit. It also identifies the power theft and auto tripping will be done.Here, Arduino is used for interfacing and the main aim of this project is to know, how much unit is obtained and the total amount of rupees has to be paid. That will be sent to the EB office for billing. Excess power usage can also be monitored. Hence, power theft can be avoided. If bill is not paid in time, then it will automatically turn off the power.
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J, Gangadhar. "Consumer Interface Smart Energy Meter." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (May 31, 2023): 2603–6. http://dx.doi.org/10.22214/ijraset.2023.52209.

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Abstract: It is realized that one of the defective subsystems adding to the tremendous budgetary loss in Power Supply Company is the conventional metering and charging framework. Mistakes get presented at each phase of charging the energy rates, similar to blunders with conventional meters, reading errors by human while noticing the consumed energy; and blunder during the preparation of paid and the due bills. The solution for this downside is a prepaid charging or billing framework of consumed energy. Most of the developing countries are shifting their conventional energy management practices to the modern one by replacing the old and conventional energy meters with the smart meters outfitted with the prepaid facility to quantify the power consumption so as to decrease the income deficits looked by utilities because of customer unwillingness to make consumed energy payments on time. Our proposed design embedded with Arduino and GSM technology is advancement over conventional energy meter, which enables consumer to effectively manage their electricity usage. The system performance is good with the acquired results. An earlier charging will undoubtedly get rid of the issues of unpaid bills and human mistakes in meter readings, along these lines guaranteeing justified income for the utility.
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Mali, Prof Madhavi. "The Smart Energy Meter." International Journal for Research in Applied Science and Engineering Technology 9, no. 2 (February 28, 2021): 1–6. http://dx.doi.org/10.22214/ijraset.2021.32848.

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Xie, Wenwang, Leping Zhang, Bensong Zhang, Wei Zhang, Pingping Wang, and Shuya Qiao. "Reliability Analysis of Intelligent Electric Energy Meter under Fusion Model Illness Analysis Algorithm." Journal of Sensors 2021 (November 13, 2021): 1–10. http://dx.doi.org/10.1155/2021/2000879.

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This work is aimed at solving the morbidity problem of the smart meter fusion model and improve the measurement accuracy and reliability of the smart meter. Starting with the topology of the smart meter, the reason for the serious morbidity of the smart meter model is discussed. First, the basic process of power system state estimation of smart meters is introduced, and the concept of error analysis of smart meters is clarified. Then, the causes and mechanisms of the ill-conditioned problems of the smart meter model are analyzed, and methods to reduce the morbidity of the smart meter calculation model are analyzed. Finally, a data optimization algorithm based on a greedy strategy and an improved Tikhonov regularization method is proposed. The model data is processed and optimized to reduce the morbidity of the smart meter measurement model. The results show that the analysis algorithm for reducing the morbidity error of the smart meter proposed in this study can effectively interfere with the morbidity of the smart meter calculation model. The processing effect shows that it can reduce the measurement error of the smart meter to about 5%, which is an order of magnitude lower than the error before processing, and the processing effect of the least square method is improved by more than 70%. From the perspective of processing speed, when the user number is between 50 and 100, the running time of the algorithm ranges between 1.5 and 3.5 s, which can be fully adapted to the actual situation and has strong practicability. In short, this study is helpful in improving the accuracy and reliability of smart meter calculations and provides a certain reference for related research.
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Ridha, Oday A. L. A., and Dhurgham M. Jasim. "Design and Implementation of Enhanced Smart Energy Metering System." Journal of Engineering 23, no. 3 (February 28, 2017): 61–79. http://dx.doi.org/10.31026/j.eng.2017.03.05.

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In this work, the design and implementation of a smart energy metering system has been developed. This system consists of two parts: billing center and a set of distributed smart energy meters. The function of smart energy meter is measuring and calculating the cost of consumed energy according to a multi-tariff scheme. This can be effectively solving the problem of stressing the electrical grid and rising consumer awareness. Moreover, smart energy meter decreases technical losses by improving power factor. The function of the billing center is to issue a consumer bill and contributes in locating the irregularities on the electrical grid (non-technical losses). Moreover, it sends the switch off command in case of the consumer bill is not paid. For implementation of smart energy meter, the microcontroller (PIC 18F45K22) is used. For communication between billing center and smart energy meters, ZigBee technology is adopted. The necessary program for smart energy meter is written in MicroC PRO, while the program for billing center is written in visual C#.
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Dissertations / Theses on the topic "Smart energy meter"

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Kelly, Daniel. "Disaggregation of domestic smart meter energy data." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/49452.

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Many countries are rolling out smart electricity meters. A smart meter measures the aggregate energy consumption of an entire building. However, appliance-by-appliance energy consumption information may be more valuable than aggregate data for a variety of uses including reducing energy demand and improving load forecasting for the electricity grid. Electricity disaggregation algorithms – the focus of this thesis – estimate appliance-by-appliance electricity demand from aggregate electricity demand. This thesis has three main goals: 1) to critically evaluate the benefits of energy disaggregation; 2) to develop tools to enable rigorous disaggregation research; 3) to advance the state of the art in disaggregation algorithms. The first part of this thesis explores whether disaggregated energy feedback helps domestic users to reduce energy consumption; and discusses threats to the NILM. Evidence is collected, summarised and aggregated by means of a critical, systematic review of the literature. Multiple uses for disaggregated data are discussed. Our review finds no robust evidence to support the hypothesis that current forms of disaggregated energy feedback are more effective than aggregate energy feedback at reducing energy consumption in the general population. But the absence of evidence does not necessarily imply the absence of any beneficial effect of disaggregated feedback. The review ends with a discussion of ways in which the effectiveness of disaggregated feedback may be increased and a discussion of opportunities for new research into the effectiveness of disaggregated feedback. We conclude that more social science research into the effects of disaggregated energy feedback is required. This motivates the remainder of the thesis: to enable cost-effective research into the effects of disaggregated feedback, we work towards developing robust NILM algorithms and software. The second part of this thesis describes three tools and one dataset developed to enable disaggregation research. The first of these tools is a novel, low-cost data collection system, which records appliance-by-appliance electricity demand every six seconds and records the whole-home voltage and current at 16 kHz. This system enabled us to collect the UK’s first and only high-frequency (kHz) electricity dataset, the UK Disaggregated Appliance-Level Electricity dataset (UK-DALE). Next, to help the disaggregation community to conduct open, rigorous,repeatable research, we collaborated with other researchers to build the first open-source dissaggregation framework, NILMTK. NILMTK has gained significant traction in the community,both in terms of contributed code and in terms of users. The third tool described in this thesis is a metadata schema for disaggregated energy data. This schema was developed to make it easier for researchers to describe their own datasets and to reduce the effort required to import datasets. The third part of this thesis describes our effort to advance the state of the art in disaggregation algorithms. Three disaggregation approaches based on deep learning are discussed: 1) a form of recurrent neural network called ‘long short-term memory’ (LSTM); 2) denoising autoencoders; and 3) a neural network which regresses the start time, end time and average power demand of each appliance activation. The disaggregation performance was measured using seven metrics and compared to two ‘benchmark’ algorithms from NILMTK: combinatorial optimisation and factorial hidden Markov models. To explore how well the algorithms generalise to unseen houses,the performance of the algorithms was measured in two separate scenarios: one using test data from a house not seen during training and a second scenario using test data from houses which were seen during training. All three neural nets achieve better F1 scores (averaged over all five appliances) than either benchmark algorithm. The neural net algorithms also generalise well to unseen houses.
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Collard, Sophie. "Assessing and Predicting the Impact of Energy Conservation Measures Using Smart Meter Data." Thesis, KTH, Kraft- och värmeteknologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-150352.

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Buildings account for around 40 percent of the primary energy consumption in Europe and in the United States. They also hold tremendous energy savings potential: 15 to 29 percent by 2020 for the European building stock according to a 2009 study from the European Commission. Verifying and predicting the impact of energy conservation measures in buildings is typically done through energy audits. These audits are costly, time-consuming, and may have high error margins if only limited amounts of data can be collected. The ongoing large-scale roll-out of smart meters and wireless sensor networks in buildings gives us access to unprecedented amounts of data to track energy consumption, environmental factors and building operation. This Thesis explores the possibility of using this data to verify and predict the impact of energy conservation measures, replacing energy audits with analytical software. We look at statistical analysis techniques and optimization algorithms suitable for building two regression models: one that maps environmental (e.g.: outdoor temperature) and operational factors (e.g.: opening hours) to energy consumption in a building, the other that maps building characteristics (e.g.: type of heating system) to regression coefficients obtained from the first model (which are used as energy-efficiency indicators) in a building portfolio. Following guidelines provided in the IPMVP, we then introduce methods for verifying and predicting the savings resulting from the implementation of a conservation measure in a building.
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Selmke, Pierre. "Auswirkungen einer Einführung von Smart Metering auf die Unternehmensführung mittelgroßer Energieversorgungsunternehmen." Doctoral thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-262388.

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In the European Union (EU), increasing final energy efficiency, so as to save energy, has become mandatory. This obligation will fundamentally alter the EU energy sector. The relevant EU directive, 2006/32/EG, requires that adjustments be made to energy billing and, where technically feasible, that new metering technologies (i.e. smart metering) be introduced. Individual EU countries are implementing these requirements in different ways: Smart metering is either being nearly fully implemented (e.g. in Italy), is being planned (e.g. in Germany), or completely disregarded (e.g. in the Czech Republic). Since the introduction of smart metering affects virtually all value-added steps, organisational structures and areas of operation in medium-sized energy providers, these providers must take the relevant requirements into account at as early a stage as possible. The present thesis analyses the effects of the introduction of smart metering on the business management of such companies. A deductive method was chosen and the effects of intro- ducing smart metering were assessed through a cross-sectional study of two separate data collections. Experts were interviewed and their statements were qualitatively evaluated. A written survey followed via online questionnaires, the results of which were quantitatively evaluated. Institutional, functional and activity-based perspectives were considered as well as normative, strategic and operative aspects of business management. The evaluation of the survey enabled a better assessment and analysis of the introduction of smart metering. An analysis of the scope of the upcoming alterations within energy providers illustrates just how fundamental a change this will bring to medium-sized energy providers. However, the outcome of the written survey shows that most executives do not recognise this need for change and therefore are unable to initiate it. These management deficiencies threaten the very existence of these companies and must be resolved through the timely initiation of consistent change management.
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Christakopoulos, Argiris, and Georgios Makrygiannis. "Consumer Attitudes towards the Benefits provided by Smart Grid – a Case Study of Smart Grid in Sweden." Thesis, Mälardalens högskola, Akademin för hållbar samhälls- och teknikutveckling, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-15351.

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Lago, Renard Lopes Villas Boas do. "Perspectiva de um sistema elétrico inteligente em uma cidade brasileira: estudo de caso Búzios." Universidade Nove de Julho, 2019. http://bibliotecatede.uninove.br/handle/tede/1972.

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Submitted by Nadir Basilio (nadirsb@uninove.br) on 2019-03-18T18:15:52Z No. of bitstreams: 1 Renard Lopes Villas Boas do Lago.pdf: 4581569 bytes, checksum: 9c4647056794f2f9266e721e689971ee (MD5)
Made available in DSpace on 2019-03-18T18:15:52Z (GMT). No. of bitstreams: 1 Renard Lopes Villas Boas do Lago.pdf: 4581569 bytes, checksum: 9c4647056794f2f9266e721e689971ee (MD5) Previous issue date: 2019-02-08
In seeking the construction of an intelligent city there is a need to identify the processes that may or may not contribute to its construction and which challenges to overcome, taking into account the aspects of urban life, such as mobility, security, communication systems, sanitation and also for the electrical system. This research is a case study with the purpose of transforming Búzios into an intelligent city, as it is published by the municipal administration. The study aimed to verify if all the projects presented were executed and if the concepts of sustainability, rationality and loss control are being applied. The approach defined for research was qualitative, verifying the facts and seeking to clarify the dynamics of social relations, through a descriptive and exploratory research. During the visit to the city information was collected through interviews and direct observations, among the interviews were qualified 20 residents and collected 202 photographs. Among the projects implemented and in operation are three generators of photovoltaic energy, as for the projects implemented and that presented discontinuity and failures in its operation are the intelligent LED lighting system, the free internet system project, the projects with the systems of generation of aerogenerator energy, power network automation projects and installation projects of smart meters. During the technical visit, it was not possible to identify characteristics or contributions that define the city of Búzios-RJ, as the first intelligent city in Latin America, as little as an intelligent city, once the projects executed show flaws, a small part of the city was contemplated, the population does not have knowledge about the project, lack of continuity and governance. Although the projects listed make sense as components of an intelligent city with an intelligent electric grid, it was not possible to characterize the city as "intelligent" since the projects did not show, in their majority, effectiveness and scope enough to do so. The city can, however, become intelligent by expanding the reach and effectiveness of the projects.
Ao almejar a construção de uma cidade inteligente existe a necessidade de identificar os processos que podem ou não contribuir para sua construção e quais os desafios a serem superados, levando-se em conta os aspectos da vida urbana, como mobilidade, segurança, sistemas de comunicação, saneamento e também para o sistema elétrico. A presente pesquisa é um estudo de caso tendo como objeto a transformação de Búzios em cidade inteligente, conforme é divulgado pela administração municipal. O estudo teve como objetivo verificar se todos os projetos apresentados foram executados e se os conceitos de sustentabilidade, racionalidade e controle de perdas estão sendo aplicados. A abordagem definida para pesquisa foi qualitativa, verificando os fatos e buscando esclarecer a dinâmica das relações sociais, por meio de uma pesquisa descritiva e exploratória. Durante a visita a cidade foram coletadas informações por meio de entrevistas e observações diretas, dentre as entrevistas foram qualificados 20 moradores e coletadas 202 fotografias. Dentre os projetos implementados e em funcionamento estão três geradores de energia fotovoltaica, quanto aos projetos implementados e que apresentaram descontinuidade e falhas no seu funcionamento estão o sistema de iluminação a LED inteligente, o projeto de sistema de internet gratuita, os projetos com os sistemas de geração de energia aerogerador, os projetos de automação da rede de energia e os projetos da instalação dos medidores inteligentes. Durante a visita técnica não foi possível identificar características ou contribuições que definam a cidade de Búzios-RJ, como a primeira cidade inteligente da América Latina, tão pouco como cidade inteligente, uma vez que os projetos executados apresentaram falhas, uma pequena parte da cidade foi contemplada, a população não possui conhecimento sobre o projeto, falta de continuidade e de governança. Embora os projetos elencados façam sentido como componentes de uma cidade inteligente, com rede elétrica inteligente, não foi possível caracterizar a cidade como "inteligente" dado que os projetos não apresentaram, em sua maioria, efetividade e alcance suficiente para isso. A cidade pode, no entanto, tornar-se inteligente ao ampliar o alcance e a efetividade dos projetos.
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Stripling, Gwendolyn D. "An Empirical Assessment of Energy Management Information System Success Using Structural Equation Modeling." NSUWorks, 2017. http://nsuworks.nova.edu/gscis_etd/1019.

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The Energy Industry utilizes Energy Management Information Systems (EMIS) smart meters to monitor utility consumers’ energy consumption, communicate energy consumption information to consumers, and to collect a plethora of energy consumption data about consumer usage. The EMIS energy consumption information is typically presented to utility consumers via a smart meter web portal. The hope is that EMIS web portal use will aid utility consumers in managing their energy consumption by helping them make effective decisions regarding their energy usage. However, little research exists that evaluates the effectiveness or success of an EMIS smart meter web portal from a utility consumer perspective. The research goal was to measure EMIS smart meter web portal success based on the DeLone and McLean Information Success Model. The objective of the study was to investigate the success constructs system quality, information quality, service quality, use, and user satisfaction, and determine their contribution to EMIS success, which was measured as net benefits. The research model used in this study employed Structural Equation Modeling (SEM) based on Partial Least Squares (PLS) to determine the validity and reliability of the measurement model and to evaluate the hypothetical relationships in the structural model. The significant validity and reliability measures obtained in this study indicate that the DeLone and McLean Information Success Model (2003) has the potential for use in future EMIS studies. The determinants responsible for explaining the variance in net benefits were EMIS use and user satisfaction. Based on the research findings, several implications and future research are stated and proposed.
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Haman, Martin. "Inteligentní elektroměr." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-412990.

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The diploma thesis describe design and realization of smart energy meter. The smart energy meter allows remote reading of the measured values and with connected externals modules also switching of connected load. The theoretical part covered measured values definition, required function analysis, components selection and design of smart energy meter. The practical part deal with firmware development, programming, remote control and reading of the measured values. The final chapter deal with realization and calibration of the smart energy meter.
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Yang, Cheng. "Development of Intelligent Energy Management System Using Natural Computing." University of Toledo / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1341375203.

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Ahmed, Nisar, and Shahid Yousaf. "For Improved Energy Economy – How Can Extended Smart Metering Be Displayed?" Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2173.

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Context: A District Heating System (DHS) uses a central heating plant to produce and distribute hot water in a community. Such a plant is connected with consumers’ premises to provide them with hot water and space heating facilities. Variations in the consumption of heat energy depend upon different factors like difference in energy prices, living standards, environmental effects and economical conditions etc. These factors can manage intelligently by advanced tools of Information and Communication Technology (ICT) such as smart metering. That is a new and emerging technology; used normally for metering of District Heating (DH), district cooling, electricity and gas. Traditional meters measures overall consumption of energy, in contrast smart meters have the ability to frequently record and transmit energy consumption statistics to both energy providers and consumers by using their communication networks and network management systems. Objectives: First objective of conducted study was providing energy consumption/saving suggestions on smart metering display for accepted consumer behavior, proposed by the energy providers. Our second objective was analysis of financial benefits for the energy provides, which could be expected through better consumer behavior. Third objective was analysis of energy consumption behavior of the residential consumes that how we can support it. Moreover, forth objective of the study was to use extracted suggestions of consumer behaviors to propose Extended Smart Metering Display for improving energy economy. Methods: In this study a background study was conducted to develop basic understanding about District Heat Energy (DHE), smart meters and their existing display, consumer behaviors and its effects on energy consumption. Moreover, interviews were conducted with representatives of smart heat meters’ manufacturer, energy providers and residential consumers. Interviews’ findings enabled us to propose an Extended Smart Metering Display, that satisfies recommendations received from all the interviewees and background study. Further in this study, a workshop was conducted for the evaluation of the proposed Extended Smart Metering Display which involved representatives of smart heat meters’ manufacture and residential energy consumers. DHE providers also contributed in this workshop through their comments in online conversation, for which an evaluation request was sent to member companies of Swedish District Heating Association. Results: Informants in this research have different levels of experiences. Through a systematic procedure we have obtained and analyzed findings from all the informants. To fulfill the energy demands during peak hours, the informants emphasized on providing efficient energy consumption behavior to be displayed on smart heat meters. According to the informants, efficient energy consumption behavior can be presented through energy consumption/saving suggestions on display of smart meters. These suggestions are related to daily life activities like taking bath and shower, cleaning, washing and heating usage. We analyzed that efficient energy consumption behavior recommended by the energy providers can provide financial improvements both for the energy providers and the residential consumers. On the basis of these findings, we proposed Extended Smart Metering Display to present information in simple and interactive way. Furthermore, the proposed Extended Smart Metering Display can also be helpful in measuring consumers’ energy consumption behavior effectively. Conclusions: After obtaining answers of the research questions, we concluded that extension of existing smart heat meters’ display can effectively help the energy providers and the residential consumers to utilize the resources efficiently. That is, it will not only reduce energy bills for the residential consumers, but it will also help the energy provider to save scarce energy and enable them to serve the consumers better in peak hours. After deployment of the proposed Extended Smart Metering Display the energy providers will able to support the consumers’ behavior in a reliable way and the consumers will find/follow the energy consumption/saving guidelines easily.
mcs294@yahoo.com, shahid_yousaf27@yahoo.com
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SABA, FABIO. "Development of a standard for thermal energy and smart heat metering applications." Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2683495.

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The research activity described in this thesis is concerned with the development and characterization of a standard for thermal energy and with the study of innovative applications and measuring solutions for smart heat metering. After an initial overview on the current state of the art and regulations for direct thermal energy measurement devices and heat accounting systems, the activities related to the development and the metrological characterization of the Italian standard of thermal energy, carried out at the Istituto Nazionale di Ricerca Metrologica (INRIM), are presented and discussed. INRIM, according to its responsibilities as National Metrological Institute (NMI), realizes the primary standards for the basic and derived units of the International System of Units (SI) and ensures the operation and maintenance of such standards, providing the national metrological traceability to the SI. Along this line, the development and the characterization of the national standard for thermal energy is fundamental in order to ensure the metrological traceability of thermal energy measurements, which is achieved through an unbroken sequence of calibration steps, each characterized by its corresponding uncertainty. Such a metrological activity is essential for the provision of accurate measurements of the thermal energy exchanged by heat conveying fluids in a number of applications, contributing significantly to the improvement of the efficiency of energy systems and processes. The INRIM national standard for thermal energy has gone through deep changes since 2011, when extensive renovation works have been planned and carried out to improve its features and performances. Thus, a metrological analysis of the system was required to assess the quality of measurements, through the investigation of all the uncertainty contributions affecting the main measurement outputs of the system: water mass and volume flow rate and thermal energy. In particular, the activities related to the development and characterization of the national standard for thermal energy were focused on the set up of a new measurement system for testing and calibrating direct heat meters in experimental conditions close to the actual operating ones, the automatization of the whole measuring process and the evaluation of the uncertainty associated to the INRIM thermal energy standard. According to the Supplement 1 of the Guide to the expression of Uncertainty in Measurement (GUM), the evaluation of the uncertainty has been carried out by means of the Monte Carlo method, which allows evaluating the probability distribution of the measurands from the probability density functions associated to the input quantities of the measurement model. In order to evaluate and confirm the metrological capabilities of the INRIM measurement system and method with respect to other NMIs’ laboratories worldwide, a pilot study on the comparison between national standards for thermal energy has been organized with the PTB Heat and Vacuum department in Berlin (Working Group 7.52, New Methods for Thermal Energy Measurement). Such an activity has been detailed from the design of the test plan for the comparison, to the discussion of the results of the first round of tests carried out at INRIM. The experimental plan has allowed observing and analyzing the effect of fluid temperature on the volume flow measurement provided by the electromagnetic flow meter used as transfer standard for the comparison. Since flow meters are typically calibrated at ambient flow conditions, understanding and quantifying the temperature effect on volume flow measurement is important, in particular, for heat metering applications. Furthermore, the analyses of two innovative measuring solutions for the non-invasive flow rate and temperature measurement in pipe flows, which can be effectively applied to thermal energy measurement, are presented and discussed. The first is related to the combined measurement of flow rate and temperature in liquid pipe flows by the clamp-on transit-time ultrasonic technique. In particular, the feasibility and the accuracy of such a non-intrusive measuring solution for the simultaneous measurement of flow rate and temperature has been analyzed by modelling the ultrasound propagation in a typical clamp-on sensor for a wide set of simulated measuring conditions. From the results of the numerical simulation, it has been possible to observe how the temperature dependent acoustic refraction of ultrasound beams can affect the accuracy of these sensors, in particular, in terms of non-intrusive temperature measurement. The second measuring solution is related to the proposal of a direct heat metering technique, based on the non-invasive measurement of the fluid flow rate circulating through a generic heat exchanger, exploiting the correlation between fluid velocity and internal heat transfer coefficient in forced pipe flows. A preliminary thermal fluid dynamic analysis has been carried out for different simulated operating conditions, in order to get a first evaluation of the feasibility and the accuracy of this non-invasive measuring technique. One of the most important application fields for heat metering devices is the measurement of thermal energy consumptions in buildings. In such a context, the fair heat cost allocation among the residents of multi-apartments and multi-purpose buildings with central heating systems, based on the accurate measurement of the actual individual thermal energy consumptions, represents an effective tool to promote energy saving and improve energy efficiency, as declared by the European Directive 2012/27/EU, recently implemented in Italy by the Decree 102/2014. Anyway, in many cases, i.e. in outdated central heating systems with vertical hot water distribution networks (rising main central heating plant configuration), the accurate measurement of individual thermal energy consumptions by means of the measures of flow rate and temperature difference of the heat conveying fluid (direct heat metering) may be neither feasible nor affordable because of installation and economic constraints. In these situations, indirect methods for the estimation of individual heat consumptions or innovative heat accounting solutions should be applied, providing their compliancy to at least one of the current technical standards for heat metering or heat cost allocation. Along this line, a novel heat cost allocation method for apartment buildings has been proposed and validated. Such a heat accounting method is particularly suitable for central heating systems characterized by room heating radiators connected to vertical hot water distribution networks and provides the indirect estimation of individual thermal energy consumptions without the need of temperature measurements at radiator heating surfaces. The proposed heat cost allocation method is based on the hydraulic modelling of hot water distribution networks, which allows estimating the water flow rates circulating through each radiator from the measurement of the overall water flow rate in the circuit and the corresponding head loss. The novel indirect heat accounting method has been validated at the INRIM central heating system test facility, a unique laboratory, consisting of 40 fully-instrumented water radiators equipped with a SI-traceable direct heat meter each and connected to an automatically reconfigurable hydraulic circuit, which allows testing indirect heat cost allocation methods in experimental conditions very close to those in the field.
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Books on the topic "Smart energy meter"

1

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

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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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Research, California Energy Commission Public Interest Energy. Integrating new and emerging technologies into the California smart grid infrastructure: A report on a smart grid for California : PIER final project report. [Sacramento, Calif.]: California Energy Commission, 2008.

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Energy Data Analytics for Smart Meter Data. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-2017-9.

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Godden, Lee, and Anne Kallies. Smart Infrastructure: Innovative Energy Technology, Climate Mitigation, and Consumer Protection in Australia and Germany. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198822080.003.0022.

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‘Smart infrastructure’, such as smart meters, are innovative, information-based energy technologies designed to promote systemic energy efficiency, cost savings, and to transition energy markets toward sustainable outcomes, including reducing climate change impacts. Smart meters promise innovation in electricity markets–as an enabler of demand-side services and a more distributed energy system. The chapter examines three case studies of legal reform for smart meter introduction in Australia and Germany. It concludes that the realization of the innovation promise of smart infrastructure requires the legal system to address consumer-oriented social and economic changes. While legal responses are growing in sophistication, significant questions around consumer protection remain, although Germany emphasizes consumer privacy more than Australian case studies. Finally, Germany most closely links innovation to climate change and electricity system transitions, whereas, increasingly, Australian policies emphasize the consumer benefits and innovation in the business models for electricity distribution.
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Smarter Energy: From Smart Metering to the Smart Grid. Institution of Engineering & Technology, 2016.

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Great Britain: National Audit Office. Preparations for the Roll-Out of Smart Meters: Department of Energy and Climate Change. Stationery Office, The, 2011.

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Government, U. S., Office of Electricity Delivery and Energy Reliability, and Department of Energy. 2012 Smart Grid System Report to Congress - Smart Electric Meters, Renewables Integration, Electric Cars and Vehicles, Transmission Automation, Grants and Programs, Cyber Security, Energy Efficiency. Independently Published, 2017.

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Book chapters on the topic "Smart energy meter"

1

Lohnert, Klaus. "IT-Strategien im Smart-Energy-Umfeld." In Smart Meter Rollout, 321–32. Wiesbaden: Springer Fachmedien Wiesbaden, 2012. http://dx.doi.org/10.1007/978-3-8348-2440-0_12.

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Subhash, R., Venkatachalam Rajarajan Balaji, K. E. Sanjana, Nikhil Madhavan, and T. Siva. "Smart Automated Energy Meter." In Communications in Computer and Information Science, 19–28. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7219-7_2.

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Wang, Yi, Qixin Chen, and Chongqing Kang. "Coding for Household Energy Behavior." In Smart Meter Data Analytics, 205–23. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2624-4_9.

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Mondal, Manoj Kumar, Sai Swaraj Shaw, and Debani Prasad Mishra. "Online-Based Smart Energy Meter." In Lecture Notes in Electrical Engineering, 321–32. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0193-5_27.

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Kalinov, D. G., and V. I. Rimlyand. "Modeling FPGA of Time Interval Meter." In SMART Automatics and Energy, 547–54. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8759-4_56.

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Rigoev, Ivan, and Axel Sikora. "Security Aspects of Smart Meter Infrastructures." In Lecture Notes in Energy, 77–154. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27556-2_5.

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Jebroni, Zakariae, Hajar Chadli, Khalid Salmi, Mohammed Saber, and Belkassem Tidhaf. "LoRa Based Smart Electrical Energy Meter." In Advances in Smart Technologies Applications and Case Studies, 716–23. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53187-4_78.

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Slanina, Zdenek, and Tomas Docekal. "Energy Meter for Smart Home Purposes." In Advances in Intelligent Systems and Computing, 57–66. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68324-9_7.

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Ntouros, Vasileios, Nikolaos Kampelis, Martina Senzacqua, Theoni Karlessi, Margarita-Niki Assimakopoulos, Dionysia Kolokotsa, and Cristina Cristalli. "Smart Meter Awareness in Italy, Ancona." In Smart and Sustainable Planning for Cities and Regions, 47–66. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57764-3_4.

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AbstractSmart meters, one of the crucial enablers of the smart-grid concept and cornerstones in smart planning for cities, offer the opportunity for consumers to address their energy consumption effectively through timely and accurate data on their energy usage. However, previous studies have shown that smart meters may not lead to the desired energy savings unless actively used by households. To this end, the research presented in this paper investigates the penetration of smart meters at community level and explores how such a metering system can help people to understand and manage their energy use better. It examines the awareness about smart meters, looks into their presence in current accommodation and focuses on the views people have about smart meters. For this purpose, a questionnaire was prepared and distributed to a group of individuals residing in the wide area of Ancona province in Italy. Although the deployment of modern second-generation smart meters started in 2017 replacing the outdated smart meters massively installed in the 2000s, the results show low-to-moderate levels of awareness of modern smart meters among the respondents and a low presence of second-generation metering devices in their current accommodation. However, the general view expressed by the participants about smart meters is positive. The findings demonstrate that respondents are in need not only of a gauge that measures energy consumption but also of a tool that assists them to manage effectively their energy use.
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Basu, Srinka, Kakuli Mishra, and Ujjwal Maulik. "Analyzing Load Profiles in Commercial Buildings Using Smart Meter Data." In Towards Energy Smart Homes, 463–87. Cham: Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-030-76477-7_15.

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Conference papers on the topic "Smart energy meter"

1

Dubara, Himanshu V., Mahesh Parihar, and Krithi Ramamritham. "Smart Energy Meter Calibration." In e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3447555.3466569.

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Jyothi Prakash, K. V., N. S. Chethana, Fariya Tamkeen, C. S. Kala, and N. R. Kavya. "Designing of Microcontroller based Energy Meter (Smart Energy Meter) for Energy Preserving." In 2019 International Conference on Communication and Electronics Systems (ICCES). IEEE, 2019. http://dx.doi.org/10.1109/icces45898.2019.9002590.

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Chakravarthi, P. Kalyan, D. Yuvaraj, and V. Venkataramanan. "IoT–based smart energy meter for smart grids." In 2022 6th International Conference on Devices, Circuits and Systems (ICDCS). IEEE, 2022. http://dx.doi.org/10.1109/icdcs54290.2022.9780714.

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Padmapriya, M., T. A. Raghavendiran, and S. Gomathi. "Smart Energy Meter for Electric Vehicle." In 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS). IEEE, 2021. http://dx.doi.org/10.1109/icais50930.2021.9395902.

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Sulaiman, S. S., N. M. Nor, Z. H. Baharudin, I. Ismail, N. Baharudin, and H. Sidek. "Smart energy meter using telegram bot." In 5th IET International Conference on Clean Energy and Technology (CEAT2018). Institution of Engineering and Technology, 2018. http://dx.doi.org/10.1049/cp.2018.1311.

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P, Sivaram Santhan, Vamsi Krishna N, Mallika M, Pujitha S, and Manideepak Kumar B. "Smart Energy Meter Monitoring using RS485." In 2023 7th International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2023. http://dx.doi.org/10.1109/iccmc56507.2023.10083637.

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Malini, V., R. K. Kumaresh, L. Kurinjimalar, K. Prathibanandhi, A. Venkateshwaran, and Srivathsan J. K. Harish. "Smart Energy Meter With Cloud Connectivity." In 2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS). IEEE, 2022. http://dx.doi.org/10.1109/icpects56089.2022.10046989.

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Prathik, M., K. Anitha, and V. Anitha. "Smart Energy Meter Surveillance Using IoT." In 2018 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS). IEEE, 2018. http://dx.doi.org/10.1109/icpects.2018.8521650.

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Bajánek, T., M. Štefanka, J. Orságová, V. Jurák, and P. Mlýnek. "CENTRAL ENERGY METER FOR SMART BUILDINGS." In CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution. Institution of Engineering and Technology, 2021. http://dx.doi.org/10.1049/icp.2021.2028.

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Selvan, M. Senthamil, R. Ramesh, H. Ragadeepa, and T. Sivabalan. "IoT Enabled Smart Energy Meter for Energy Management." In 2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT). IEEE, 2023. http://dx.doi.org/10.1109/apsit58554.2023.10201740.

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Reports on the topic "Smart energy meter"

1

Page, Janie, Chuck McParland, Mary Ann Piette, and Stephen Czarnecki. Design of an Open Smart Energy Gateway for Smart Meter Data Management. Office of Scientific and Technical Information (OSTI), March 2015. http://dx.doi.org/10.2172/1248928.

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Todd, Annika, Michael Perry, Brian Smith, Michael Sullivan, Peter Cappers, and Charles A. Goldman. Insights from Smart Meters. Ramp-up, dependability, and short-term persistence of savings from Home Energy Reports. Office of Scientific and Technical Information (OSTI), April 2015. http://dx.doi.org/10.2172/1253718.

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Todd, A., M. Perry, B. Smith, M. Sullivan, P. Cappers, and C. Goldman. Insights from Smart Meters: Ramp-Up, Dependability, and Short-Term Persistence of Savings from Home Energy Reports. Office of Scientific and Technical Information (OSTI), April 2015. http://dx.doi.org/10.2172/1331042.

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