Energy Data Analytics For Smart Meter Data

Author : Yi Wang,Qixin Chen,Chongqing Kang
Publisher : Springer Nature
Page : 306 pages
File Size : 51,5 Mb
Release : 2020-02-24
Category : Business & Economics
ISBN : 9789811526244

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Smart Meter Data Analytics by Yi Wang,Qixin Chen,Chongqing Kang Pdf

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.

Author : Andreas Reinhardt,Lucas Pereira
Publisher : Mdpi AG
Page : 346 pages
File Size : 50,9 Mb
Release : 2021-09-23
Category : Technology & Engineering
ISBN : 3036520163

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Energy Data Analytics for Smart Meter Data by Andreas Reinhardt,Lucas Pereira Pdf

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.

Author : Konstantin Hopf
Publisher : University of Bamberg Press
Page : 283 pages
File Size : 51,7 Mb
Release : 2019-07-15
Category : Computers
ISBN : 9783863096687

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Predictive Analytics for Energy Efficiency and Energy Retailing by Konstantin Hopf Pdf

Author : Carol L. Stimmel
Publisher : CRC Press
Page : 258 pages
File Size : 41,7 Mb
Release : 2016-04-19
Category : Computers
ISBN : 9781040074404

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Big Data Analytics Strategies for the Smart Grid by Carol L. Stimmel Pdf

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.

Author : Yi Wang
Publisher : Unknown
Page : 0 pages
File Size : 44,7 Mb
Release : 2020
Category : Electronic
ISBN : OCLC:1310384669

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Smart Meter Data Analytics by Yi Wang Pdf

Author : Sudip Misra,Samaresh Bera
Publisher : Cambridge University Press
Page : 277 pages
File Size : 41,7 Mb
Release : 2018-07-12
Category : Computers
ISBN : 9781108475204

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Smart Grid Technology by Sudip Misra,Samaresh Bera Pdf

Discusses concepts of smart grid technologies, from the perspective of integration with cloud computing and data management approaches.

Author : Himansu Das,Rabindra K. Barik,Harishchandra Dubey,Diptendu Sinha Roy
Publisher : Springer
Page : 289 pages
File Size : 41,8 Mb
Release : 2018-12-11
Category : Technology & Engineering
ISBN : 9783030033590

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Cloud Computing for Geospatial Big Data Analytics by Himansu Das,Rabindra K. Barik,Harishchandra Dubey,Diptendu Sinha Roy Pdf

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.

Author : Rajkumar Viral,Divya Asija,Surender Salkuti
Publisher : CRC Press
Page : 220 pages
File Size : 45,7 Mb
Release : 2023-12-22
Category : Computers
ISBN : 9781003828020

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Big Data Analytics Framework for Smart Grids by Rajkumar Viral,Divya Asija,Surender Salkuti Pdf

The text comprehensively discusses smart grid operations and the use of big data analytics in overcoming the existing challenges. It covers smart power generation, transmission, and distribution, explains energy management systems, artificial intelligence, and machine learning–based computing. •Presents a detailed state-of-the-art analysis of big data analytics and its uses in power grids. • Describes how the big data analytics framework has been used to display energy in two scenarios including a single house and a smart grid with thousands of smart meters. •Explores the role of the internet of things, artificial intelligence, and machine learning in smart grids. • Discusses edge analytics for integration of generation technologies, and decision-making approaches in detail. • Examines research limitations and presents recommendations for further research to incorporate big data analytics into power system design and operational frameworks. The text presents a comprehensive study and assessment of the state-of-the-art research and development related to the unique needs of electrical utility grids, including operational technology, storage, processing, and communication systems. It further discusses important topics such as complex adaptive power system, self-healing power system, smart transmission, and distribution networks, and smart metering infrastructure. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the areas such as electrical engineering, electronics and communications engineering, computer engineering, and information technology.

Author : Hasmat Malik,Md. Waseem Ahmad,D.P. Kothari
Publisher : Springer Nature
Page : 649 pages
File Size : 45,5 Mb
Release : 2022-02-17
Category : Technology & Engineering
ISBN : 9789811660818

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Intelligent Data Analytics for Power and Energy Systems by Hasmat Malik,Md. Waseem Ahmad,D.P. Kothari Pdf

This book brings together state-of-the-art advances in intelligent data analytics as driver of the future evolution of PaE systems. In the modern power and energy (PaE) domain, the increasing penetration of renewable energy sources (RES) and the consequent empowerment of consumers as a central and active solution to deal with the generation and development variability are driving the PaE system towards a historic paradigm shift. The small-scale, diversity, and especially the number of new players involved in the PaE system potentiate a significant growth of generated data. Moreover, advances in communication (between IoT devices and M2M: machine to machine, man to machine, etc.) and digitalization hugely increased the volume of data that results from PaE components, installations, and systems operation. This data is becoming more and more important for PaE systems operation, maintenance, planning, and scheduling with relevant impact on all involved entities, from producers, consumer,s and aggregators to market and system operators. However, although the PaE community is fully aware of the intrinsic value of those data, the methods to deal with it still necessitate substantial enhancements, development and research. Intelligent data analytics is thereby playing a fundamental role in this domain, by enabling stakeholders to expand their decision-making method and achieve the awareness on the PaE environment. The editors also included demonstrated codes for presented problems for better understanding for beginners.

Author : Chun Sing Lai,Loi Lei Lai,Qi Hong Lai
Publisher : Springer Nature
Page : 403 pages
File Size : 44,8 Mb
Release : 2020-10-31
Category : Technology & Engineering
ISBN : 9783030521554

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Smart Grids and Big Data Analytics for Smart Cities by Chun Sing Lai,Loi Lei Lai,Qi Hong Lai Pdf

This book provides a comprehensive introduction to different elements of smart city infrastructure - smart energy, smart water, smart health, and smart transportation - and how they work independently and together. Theoretical development and practical applications are presented, along with related standards, recommended practices, and professional guidelines. Throughout the book, diagrams and case studies are provided that demonstrate the systems presented, and extensive use of scenarios helps readers better grasp how smart grids, the Internet of Things, big data analytics, and trading models can improve road safety, healthcare, smart water management, and a low-carbon economy. A must-read for practicing engineers, consultants, regulators, utility operators, and environmentalists involved in smart city development, the book will also appeal to city planners and designers, as well as upper-level undergraduate and graduate students studying energy, environmental science, technology, economics, signal processing, information science, and power engineering.

Author : Gontar, Zbigniew H.
Publisher : IGI Global
Page : 306 pages
File Size : 46,7 Mb
Release : 2018-06-27
Category : Computers
ISBN : 9781522539971

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Smart Grid Analytics for Sustainability and Urbanization by Gontar, Zbigniew H. Pdf

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.

Author : Ahmed F. Zobaa,Trevor J. Bihl
Publisher : CRC Press
Page : 243 pages
File Size : 52,5 Mb
Release : 2018-08-14
Category : Science
ISBN : 9781351601283

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Big Data Analytics in Future Power Systems by Ahmed F. Zobaa,Trevor J. Bihl Pdf

Power systems are increasingly collecting large amounts of data due to the expansion of the Internet of Things into power grids. In a smart grids scenario, a huge number of intelligent devices will be connected with almost no human intervention characterizing a machine-to-machine scenario, which is one of the pillars of the Internet of Things. The book characterizes and evaluates how the emerging growth of data in communications networks applied to smart grids will impact the grid efficiency and reliability. Additionally, this book discusses the various security concerns that become manifest with Big Data and expanded communications in power grids. Provide a general description and definition of big data, which has been gaining significant attention in the research community. Introduces a comprehensive overview of big data optimization methods in power system. Reviews the communication devices used in critical infrastructure, especially power systems; security methods available to vet the identity of devices; and general security threats in CI networks. Presents applications in power systems, such as power flow and protection. Reviews electricity theft concerns and the wide variety of data-driven techniques and applications developed for electricity theft detection.

Author : Wei Lee Woon,Zeyar Aung,Oliver Kramer,Stuart Madnick
Publisher : Springer
Page : 137 pages
File Size : 43,6 Mb
Release : 2017-01-18
Category : Computers
ISBN : 9783319509471

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Data Analytics for Renewable Energy Integration by Wei Lee Woon,Zeyar Aung,Oliver Kramer,Stuart Madnick Pdf

This book constitutes revised selected papers from the 4th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2016, held in Riva del Garda, Italy, in September 2016. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response and many others.

Author : Ali Tajer,Samir M. Perlaza,H. Vincent Poor
Publisher : Cambridge University Press
Page : 601 pages
File Size : 42,7 Mb
Release : 2021-04-08
Category : Computers
ISBN : 9781108494755

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Advanced Data Analytics for Power Systems by Ali Tajer,Samir M. Perlaza,H. Vincent Poor Pdf

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.

Author : José María Cavanillas,Edward Curry,Wolfgang Wahlster
Publisher : Springer
Page : 303 pages
File Size : 44,5 Mb
Release : 2016-04-04
Category : Computers
ISBN : 9783319215693

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New Horizons for a Data-Driven Economy by José María Cavanillas,Edward Curry,Wolfgang Wahlster Pdf

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.