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Smart Meter Data


Smart Meter Data
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Smart Meter Data Analytics


Smart Meter Data Analytics
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Author : Yi Wang
language : en
Publisher: Springer Nature
Release Date : 2020-02-24

Smart Meter Data Analytics written by Yi Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-24 with Business & Economics categories.


This book aims to make the best use of fine-grained smart meter data to process and translate them into actual information and incorporated into consumer behavior modeling and distribution system operations. It begins with an overview of recent developments in smart meter data analytics. Since data management is the basis of further smart meter data analytics and its applications, three issues on data management, i.e., data compression, anomaly detection, and data generation, are subsequently studied. The following works try to model complex consumer behavior. Specific works include load profiling, pattern recognition, personalized price design, socio-demographic information identification, and household behavior coding. On this basis, the book extends consumer behavior in spatial and temporal scale. Works such as consumer aggregation, individual load forecasting, and aggregated load forecasting are introduced. We hope this book can inspire readers to define new problems, apply novel methods, and obtain interesting results with massive smart meter data or even other monitoring data in the power systems.



Smart Meter Data Analytics


Smart Meter Data Analytics
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Author : Yi Wang
language : en
Publisher:
Release Date : 2020

Smart Meter Data Analytics written by Yi Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.




Energy Data Analytics For Smart Meter Data


Energy Data Analytics For Smart Meter Data
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Author : Andreas Reinhardt
language : en
Publisher: Mdpi AG
Release Date : 2021-09-23

Energy Data Analytics For Smart Meter Data written by Andreas Reinhardt and has been published by Mdpi AG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-23 with Technology & Engineering categories.


The principal advantage of smart electricity meters is their ability to transfer digitized electricity consumption data to remote processing systems. The data collected by these devices make the realization of many novel use cases possible, providing benefits to electricity providers and customers alike. This book includes 14 research articles that explore and exploit the information content of smart meter data, and provides insights into the realization of new digital solutions and services that support the transition towards a sustainable energy system. This volume has been edited by Andreas Reinhardt, head of the Energy Informatics research group at Technische Universität Clausthal, Germany, and Lucas Pereira, research fellow at Técnico Lisboa, Portugal.



Generating Insights From Smart Meter Data


Generating Insights From Smart Meter Data
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Author : Anastasia Ushakova
language : en
Publisher:
Release Date : 2019

Generating Insights From Smart Meter Data written by Anastasia Ushakova and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.




Smart Metering


Smart Metering
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Author : VIjay K. Sood
language : en
Publisher: Elsevier
Release Date : 2024-03-29

Smart Metering written by VIjay K. Sood and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-29 with Technology & Engineering categories.


Smart Metering: Infrastructure, Methodologies, Applications and Challenges combines the fundamentals of smart meters in smart grids with the latest advances and technologies in advanced smart infrastructure. With a strong focus on practical guidance and applications, this book examines the design and implementation of smart meters, as well as cyber security and data management challenges. Following an introduction to smart grid architecture, the book details design elements of smart meters to enable them for specific applications, such as recording the energy consumption of users, load forecasting, resilience enhancement and energy theft detection. A deep dive into smart meter data analytics is then presented, accompanied by load forecasting methods and their advantages and challenges. Subsequent chapters also discuss outage management, fault identification and other applications of smart meters, including power network connection verifications. This is a comprehensive resource on smart metering and a valuable read to students, researchers and engineers interested in power systems engineering, smart grids, and smart energy technologies. Discusses advanced architecture in the context of establishing smart meters in smart grids for enhanced operation and data utilization Provides detailed discussions on smart meter data analysis Explores the design of smart meters and possible implementation of AI, ML, and other advanced methodologies to enhance the functions of power systems using smart meter data



An Evaluation Of The Effectiveness Of Smart Meter Data Perturbation Mechanisms Using A Unified Stochastic Framework


An Evaluation Of The Effectiveness Of Smart Meter Data Perturbation Mechanisms Using A Unified Stochastic Framework
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Author : Zoya Khan
language : en
Publisher:
Release Date : 2015

An Evaluation Of The Effectiveness Of Smart Meter Data Perturbation Mechanisms Using A Unified Stochastic Framework written by Zoya Khan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Electronic dissertations categories.


The growing energy needs are forcing utility companies towards the use of Advanced Metering Infrastructure (AMI). Smart meters are a part of the AMI, that capture fine grained electric consumption data from households and share it with the utility company, operations center, and other third party entities in the smart grid network, in order to make the grid more efficient and reliable. Yet, sharing such fine grained data gives rise to privacy concerns from the consumer's perspective. As a response to such privacy concerns, several smart meter data perturbation techniques have been proposed to fortify against extraction of sensitive personal information from the consumers' electric consumption data. However, due to the lack of a unified framework for assessing and comparing different perturbation techniques, consumers do not have access to a readily available tool to measure and evaluate the privacy provided by these perturbation techniques. We introduce a unified and practical data centric framework for evaluating and measuring the privacy offered by different smart meter data perturbation techniques. The framework trains multiple smart meter data models based on past smart meter data and other auxiliary information (e.g., time, temperature, location, etc.) that may be easily available to the adversary. The framework then evaluates the privacy offered by different perturbation techniques by carrying out reconstruction attacks (usually the adversary's first step before performing more advanced inference attacks) using trained models suitable for the characteristics of the perturbed data. Accuracy of reconstruction and the loss of privacy is measured in terms of well-known metrics, such as R-squared correlation and relative entropy. The framework is said to be unified because it considers all the elements required for evaluation such as the prior information available to the adversary, perturbation techniques, and the reconstruction strategy. To validate the effectiveness of our framework, for evaluating and measuring privacy offered by some of the popular perturbation techniques, we test the framework using real smart meter power consumption data collected from twenty-two households over a period of two-years.



Smart Meter Data


Smart Meter Data
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Author : Brandon J. Murrill
language : en
Publisher: CreateSpace
Release Date : 2013-06-25

Smart Meter Data written by Brandon J. Murrill and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-25 with Technology & Engineering categories.


Fueled by stimulus funding in the American Recovery and Reinvestment Act of 2009 (ARRA), electric utilities have accelerated their deployment of smart meters to millions of homes across the United States with help from the Department of Energy's Smart Grid Investment Grant program. As the meters multiply, so do issues concerning the privacy and security of the data collected by the new technology. This Advanced Metering Infrastructure (AMI) promises to increase energy efficiency, bolster electric power grid reliability, and facilitate demand response, among other benefits. However, to fulfill these ends, smart meters must record near-real time data on consumer electricity usage and transmit the data to utilities over great distances via communications networks that serve the smart grid. Detailed electricity usage data offers a window into the lives of people inside of a home by revealing what individual appliances they are using, and the transmission of the data potentially subjects this information to interception or theft by unauthorized third parties or hackers.



Smart Meter Data Analytics


Smart Meter Data Analytics
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Author : Minghao Xu
language : en
Publisher:
Release Date : 2019

Smart Meter Data Analytics written by Minghao Xu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.




Smart Metering Applications


Smart Metering Applications
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Author : Nikolaos Efkarpidis
language : en
Publisher: Springer Nature
Release Date : 2022-10-03

Smart Metering Applications written by Nikolaos Efkarpidis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-03 with Technology & Engineering categories.


This book presents a large number of smart metering applications from the points of view of different stakeholders. The applications are clustered with respect to three types of stakeholders: (a) end-customers, (b) energy service providers, and (c) authorities/research institutions or other organizations. The goal of the book is to examine the implementation potential for each application, considering the interests and benefits for the key stakeholders, main technical and regulatory requirements, as well as limitations and barriers. A business case for each application is created that can provide guidelines to the stakeholders involved in its realization. The book additionally investigates current business models for smart metering applications. A survey on the current techno-economic potential of such applications is conducted based on a questionnaire filled by various stakeholders. The book will be of interest to academic/research institutions, but also engineers in industry, authorities or other organizations.



The Use Of Smart Meter Data To Analyze The Consumption Patterns


The Use Of Smart Meter Data To Analyze The Consumption Patterns
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Author :
language : en
Publisher:
Release Date : 2015

The Use Of Smart Meter Data To Analyze The Consumption Patterns written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.