Smart Meter Data Analytics

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Smart Meter Data Analytics

Author : Yi Wang
Publisher : Springer Nature
ISBN 13 : 9811526249
Total Pages : 306 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Smart Meter Data Analytics by : Yi Wang

Download or read book Smart Meter Data Analytics written by Yi Wang and published by Springer Nature. This book was released on 2020-02-24 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Yi Wang
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (131 download)

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Book Synopsis Smart Meter Data Analytics by : Yi Wang

Download or read book Smart Meter Data Analytics written by Yi Wang and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Energy Data Analytics for Smart Meter Data

Author : Andreas Reinhardt
Publisher : Mdpi AG
ISBN 13 : 9783036520162
Total Pages : 346 pages
Book Rating : 4.5/5 (21 download)

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Book Synopsis Energy Data Analytics for Smart Meter Data by : Andreas Reinhardt

Download or read book Energy Data Analytics for Smart Meter Data written by Andreas Reinhardt and published by Mdpi AG. This book was released on 2021-09-23 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advanced Data Analytics for Power Systems

Author : Ali Tajer
Publisher : Cambridge University Press
ISBN 13 : 1108494757
Total Pages : 601 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Advanced Data Analytics for Power Systems by : Ali Tajer

Download or read book Advanced Data Analytics for Power Systems written by Ali Tajer and published by Cambridge University Press. This book was released on 2021-04-08 with total page 601 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and applications related to power system reliability, efficiency, and security. With topics spanning large-scale and distributed optimization, statistical learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and industry with backgrounds in power systems engineering, applied mathematics, and computer science.

Smart Grid Analytics for Sustainability and Urbanization

Author : Gontar, Zbigniew H.
Publisher : IGI Global
ISBN 13 : 1522539972
Total Pages : 306 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Smart Grid Analytics for Sustainability and Urbanization by : Gontar, Zbigniew H.

Download or read book Smart Grid Analytics for Sustainability and Urbanization written by Gontar, Zbigniew H. and published by IGI Global. This book was released on 2018-06-27 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information and communication technologies play an essential role in the effectiveness and efficiency of smart city processes. Recognizing the role of process analysis in energy usage and how it can be enhanced is essential to improving city sustainability. Smart Grid Analytics for Sustainability and Urbanization provides emerging research on the development of information technology and communication systems in smart cities and smart grids. While highlighting topics such as process mining, innovation management, and sustainability optimization, this publication explores technology development and the mobilization of different environments in smart cities. This book is an important resource for graduate students, researchers, academics, engineers, and government officials seeking current research on how process analysis in energy usage is manifested and how it can be enhanced.

Big Data Analytics Strategies for the Smart Grid

Author : Carol L. Stimmel
Publisher : CRC Press
ISBN 13 : 1040074405
Total Pages : 258 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Big Data Analytics Strategies for the Smart Grid by : Carol L. Stimmel

Download or read book Big Data Analytics Strategies for the Smart Grid written by Carol L. Stimmel and published by CRC Press. This book was released on 2016-04-19 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive data analytics program is the only way utilities will be able to meet the challenges of modern grids with operational efficiency, while reconciling the demands of greenhouse gas legislation, and establishing a meaningful return on investment from smart grid deployments. This book addresses the requirements for applying big data technologies and approaches, including Big Data cybersecurity, to the critical infrastructure that makes up the electrical utility grid.

Smart Grid Technology

Author : Sudip Misra
Publisher : Cambridge University Press
ISBN 13 : 1108475205
Total Pages : 277 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Smart Grid Technology by : Sudip Misra

Download or read book Smart Grid Technology written by Sudip Misra and published by Cambridge University Press. This book was released on 2018-07-12 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discusses concepts of smart grid technologies, from the perspective of integration with cloud computing and data management approaches.

Cloud Computing for Geospatial Big Data Analytics

Author : Himansu Das
Publisher : Springer
ISBN 13 : 3030033597
Total Pages : 289 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Cloud Computing for Geospatial Big Data Analytics by : Himansu Das

Download or read book Cloud Computing for Geospatial Big Data Analytics written by Himansu Das and published by Springer. This book was released on 2018-12-11 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.

Consumer Data Research

Author : Paul Longley
Publisher : UCL Press
ISBN 13 : 1787353885
Total Pages : 198 pages
Book Rating : 4.7/5 (873 download)

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Book Synopsis Consumer Data Research by : Paul Longley

Download or read book Consumer Data Research written by Paul Longley and published by UCL Press. This book was released on 2018-04-30 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data collected by customer-facing organisations – such as smartphone logs, store loyalty card transactions, smart travel tickets, social media posts, or smart energy meter readings – account for most of the data collected about citizens today. As a result, they are transforming the practice of social science. Consumer Big Data are distinct from conventional social science data not only in their volume, variety and velocity, but also in terms of their provenance and fitness for ever more research purposes. The contributors to this book, all from the Consumer Data Research Centre, provide a first consolidated statement of the enormous potential of consumer data research in the academic, commercial and government sectors – and a timely appraisal of the ways in which consumer data challenge scientific orthodoxies. Praise for Consumer Data Research 'An insightful, state-of-the-art guide into the social and commercial value of applying geographical thinking to the study of consumer data.' Professor Richard Harris, University of Bristol 'An excellent guide to leveraging the value of academic research on valid data. Partnerships based around consumer data should be encouraged and supported by all and their outputs used to better the way we manage the world we live in.' Bill Grimsey, retailer and author of The Vanishing Highstreet 'The use of data from everyday consumer transactions is a potential game-changer for understanding economic and social patterns and trends. This is an excellent overview of the field.' Dr.Tom Smith, Managing Director, Office for National Statistics Data Science Campus

Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing

Author : Velayutham, Sathiyamoorthi
Publisher : IGI Global
ISBN 13 : 1799831132
Total Pages : 350 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing by : Velayutham, Sathiyamoorthi

Download or read book Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing written by Velayutham, Sathiyamoorthi and published by IGI Global. This book was released on 2021-01-29 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s market, emerging technologies are continually assisting in common workplace practices as companies and organizations search for innovative ways to solve modern issues that arise. Prevalent applications including internet of things, big data, and cloud computing all have noteworthy benefits, but issues remain when separately integrating them into the professional practices. Significant research is needed on converging these systems and leveraging each of their advantages in order to find solutions to real-time problems that still exist. Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing is a pivotal reference source that provides vital research on the relation between these technologies and the impact they collectively have in solving real-world challenges. While highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors. This book is ideally designed for academicians, researchers, developers, computer scientists, IT professionals, practitioners, scholars, students, and engineers seeking research on the integration of emerging technologies to solve modern societal issues.

Smart Metering

Author : VIjay K. Sood
Publisher : Elsevier
ISBN 13 : 0443155860
Total Pages : 290 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Smart Metering by : VIjay K. Sood

Download or read book Smart Metering written by VIjay K. Sood and published by Elsevier. This book was released on 2024-03-29 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

New Horizons for a Data-Driven Economy

Author : José María Cavanillas
Publisher : Springer
ISBN 13 : 3319215698
Total Pages : 303 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis New Horizons for a Data-Driven Economy by : José María Cavanillas

Download or read book New Horizons for a Data-Driven Economy written by José María Cavanillas and published by Springer. This book was released on 2016-04-04 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.

Artificial Intelligence for Renewable Energy Systems

Author : Ajay Kumar Vyas
Publisher : John Wiley & Sons
ISBN 13 : 1119761697
Total Pages : 276 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Artificial Intelligence for Renewable Energy Systems by : Ajay Kumar Vyas

Download or read book Artificial Intelligence for Renewable Energy Systems written by Ajay Kumar Vyas and published by John Wiley & Sons. This book was released on 2022-03-02 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.

Emerging Research in Data Engineering Systems and Computer Communications

Author : P. Venkata Krishna
Publisher : Springer Nature
ISBN 13 : 9811501351
Total Pages : 694 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Emerging Research in Data Engineering Systems and Computer Communications by : P. Venkata Krishna

Download or read book Emerging Research in Data Engineering Systems and Computer Communications written by P. Venkata Krishna and published by Springer Nature. This book was released on 2020-02-10 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the 2nd International Conference on Computing, Communications and Data Engineering, held at Sri Padmavati Mahila Visvavidyalayam, Tirupati, India from 1 to 2 Feb 2019. Chiefly discussing major issues and challenges in data engineering systems and computer communications, the topics covered include wireless systems and IoT, machine learning, optimization, control, statistics, and social computing.

Hadoop: The Definitive Guide

Author : Tom White
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449338771
Total Pages : 687 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Hadoop: The Definitive Guide by : Tom White

Download or read book Hadoop: The Definitive Guide written by Tom White and published by "O'Reilly Media, Inc.". This book was released on 2012-05-10 with total page 687 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ready to unlock the power of your data? With this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. You’ll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This third edition covers recent changes to Hadoop, including material on the new MapReduce API, as well as MapReduce 2 and its more flexible execution model (YARN). Store large datasets with the Hadoop Distributed File System (HDFS) Run distributed computations with MapReduce Use Hadoop’s data and I/O building blocks for compression, data integrity, serialization (including Avro), and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster—or run Hadoop in the cloud Load data from relational databases into HDFS, using Sqoop Perform large-scale data processing with the Pig query language Analyze datasets with Hive, Hadoop’s data warehousing system Take advantage of HBase for structured and semi-structured data, and ZooKeeper for building distributed systems

Smart Grid and Internet of Things

Author : Al-Sakib Khan Pathan
Publisher : Springer
ISBN 13 : 3030059286
Total Pages : 143 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Smart Grid and Internet of Things by : Al-Sakib Khan Pathan

Download or read book Smart Grid and Internet of Things written by Al-Sakib Khan Pathan and published by Springer. This book was released on 2018-12-29 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second EAI International Conference on Smart Grid and Internet of Things, SGIoT 2018, held in Niagara Falls, Canada, Ontario, in July 2018. The 14 papers presented were carefully reviewed and selected from 25 submissions and present research results on how to achieve more efficient use of resources based largely on IoT-based machine-to-machine interactions in the smart grit communication networks. The smart grid also encompasses IoT technologies, which monitor transmission lines, manage substations, integrate renewable energy generation (e.g., solar or wind), and utilize hybrid vehicle batteries. Through these technologies, the authorities can smartly identify outage problems, and intelligently schedule the power generation and delivery to the customers

Smart Grid and Enabling Technologies

Author : Shady S. Refaat
Publisher : John Wiley & Sons
ISBN 13 : 1119422310
Total Pages : 516 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Smart Grid and Enabling Technologies by : Shady S. Refaat

Download or read book Smart Grid and Enabling Technologies written by Shady S. Refaat and published by John Wiley & Sons. This book was released on 2021-08-16 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: SMART GRID AND ENABLING TECHNOLOGIES Discover foundational topics in smart grid technology as well as an exploration of the current and future state of the industry As the relationship between fossil fuel use and climate change becomes ever clearer, the search is on for reliable, renewable and less harmful sources of energy. Sometimes called the “electronet” or the “energy Internet,” smart grids promise to integrate renewable energy, information, and communication technologies with the existing electrical grid and deliver electricity more efficiently and reliably. Smart Grid and Enabling Technologies delivers a complete vision of smart grid technology and applications, including foundational and fundamental technologies, the technology that enables smart grids, the current state of the industry, and future trends in smart energy. The book offers readers thorough discussions of modern smart grid technology, including advanced metering infrastructure, net zero energy buildings, and communication, data management, and networks in smart grids. The accomplished authors also discuss critical challenges and barriers facing the smart grid industry as well as trends likely to be of importance in its future development. Readers will also benefit from the inclusion of: A thorough introduction to smart grid architecture, including traditional grids, the fundamentals of electric power, definitions and classifications of smart grids, and the components of smart grid technology An exploration of the opportunities and challenges posed by renewable energy integration Practical discussions of power electronics in the smart grid, including power electronics converters for distributed generation, flexible alternating current transmission systems, and high voltage direct current transmission systems An analysis of distributed generation Perfect for scientists, researchers, engineers, graduate students, and senior undergraduate students studying and working with electrical power systems and communication systems. Smart Grid and Enabling Technologies will also earn a place in the libraries of economists, government planners and regulators, policy makers, and energy stakeholders working in the smart grid field.