Energy Data Analytics For Smart Meter Data

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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.

Data Analytics for Smart Grids Applications—A Key to Smart City Development

Author : Devendra Kumar Sharma
Publisher : Springer Nature
ISBN 13 : 3031460928
Total Pages : 466 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Data Analytics for Smart Grids Applications—A Key to Smart City Development by : Devendra Kumar Sharma

Download or read book Data Analytics for Smart Grids Applications—A Key to Smart City Development written by Devendra Kumar Sharma and published by Springer Nature. This book was released on 2024-01-03 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces big data analytics and corresponding applications in smart grids. The characterizations of big data, smart grids as well as a huge amount of data collection are first discussed as a prelude to illustrating the motivation and potential advantages of implementing advanced data analytics in smart grids. Basic concepts and the procedures of typical data analytics for general problems are also discussed. The advanced applications of different data analytics in smart grids are addressed as the main part of this book. By dealing with a huge amount of data from electricity networks, meteorological information system, geographical information system, etc., many benefits can be brought to the existing power system and improve customer service as well as social welfare in the era of big data. However, to advance the applications of big data analytics in real smart grids, many issues such as techniques, awareness, and synergies have to be overcome. This book provides deployment of semantic technologies in data analysis along with the latest applications across the field such as smart grids.

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.

Big Data Analytics Strategies for the Smart Grid

Author : Carol L. Stimmel
Publisher : CRC Press
ISBN 13 : 1482218283
Total Pages : 258 pages
Book Rating : 4.4/5 (822 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 2014-07-25 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: By implementing a comprehensive data analytics program, utility companies can meet the continually evolving challenges of modern grids that are operationally efficient, while reconciling the demands of greenhouse gas legislation and establishing a meaningful return on investment from smart grid deployments. Readable and accessible, Big Data Analytics Strategies for the Smart Grid addresses the needs of applying big data technologies and approaches, including Big Data cybersecurity, to the critical infrastructure that makes up the electrical utility grid. It supplies industry stakeholders with an in-depth understanding of the engineering, business, and customer domains within the power delivery market. The book explores the unique needs of electrical utility grids, including operational technology, IT, storage, processing, and how to transform grid assets for the benefit of both the utility business and energy consumers. It not only provides specific examples that illustrate how analytics work and how they are best applied, but also describes how to avoid potential problems and pitfalls. Discussing security and data privacy, it explores the role of the utility in protecting their customers’ right to privacy while still engaging in forward-looking business practices. The book includes discussions of: SAS for asset management tools The AutoGrid approach to commercial analytics Space-Time Insight’s work at the California ISO (CAISO) This book is an ideal resource for mid- to upper-level utility executives who need to understand the business value of smart grid data analytics. It explains critical concepts in a manner that will better position executives to make the right decisions about building their analytics programs. At the same time, the book provides sufficient technical depth that it is useful for data analytics professionals who need to better understand the nuances of the engineering and business challenges unique to the utilities industry.

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.

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.

Predictive Analytics for Energy Efficiency and Energy Retailing

Author : Konstantin Hopf
Publisher : University of Bamberg Press
ISBN 13 : 3863096681
Total Pages : 283 pages
Book Rating : 4.8/5 (63 download)

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Book Synopsis Predictive Analytics for Energy Efficiency and Energy Retailing by : Konstantin Hopf

Download or read book Predictive Analytics for Energy Efficiency and Energy Retailing written by Konstantin Hopf and published by University of Bamberg Press. This book was released on 2019-07-15 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Energy Efficient Energy Analytics

Author : Sagnik De
Publisher :
ISBN 13 :
Total Pages : 81 pages
Book Rating : 4.:/5 (1 download)

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Book Synopsis Energy Efficient Energy Analytics by : Sagnik De

Download or read book Energy Efficient Energy Analytics written by Sagnik De and published by . This book was released on 2017 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart meters allow for hourly data collection related to customer's power consumption. However this results in thousands of data points, which hides broader trends in power consumption and makes it difficult for energy suppliers to make decisions regards to a specific customer or to large number of customers. Since data without analysis is useless, various algorithms have been proposed to lower the dimensionality of data, discover trends (eg. regression), study relationships between different types (eg. temperature and power data) of collected data, summarize data (e.g. histogram). This allows for easy consumption by the end user. The smart meter data is very compute intensive to process as there are a large number of houses and each house has the data collected over a few years. To speed up the smart meter data analysis, computer clusters have been used. Ironically, these clusters consume a lot of power. Studies have shown that about 10 % of power is consumed by the computing infrastructure. In this thesis a GPU will be used to perform analysis of smart meter data and it will be compared to a baseline CPU implementation. It will also show that GPUs are not only faster than the CPU, but they are also more power efficient.

New Horizons for a Data-Driven Economy

Author : José María Cavanillas
Publisher : Springer
ISBN 13 : 3319215698
Total Pages : 312 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 312 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.

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 Framework for Smart Grids

Author : Rajkumar Viral
Publisher : CRC Press
ISBN 13 : 1003828027
Total Pages : 220 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Big Data Analytics Framework for Smart Grids by : Rajkumar Viral

Download or read book Big Data Analytics Framework for Smart Grids written by Rajkumar Viral and published by CRC Press. This book was released on 2023-12-22 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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

Knowledge Graphs and Big Data Processing

Author : Valentina Janev
Publisher : Springer Nature
ISBN 13 : 3030531996
Total Pages : 212 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Knowledge Graphs and Big Data Processing by : Valentina Janev

Download or read book Knowledge Graphs and Big Data Processing written by Valentina Janev and published by Springer Nature. This book was released on 2020-07-15 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.

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.

Model-driven Analytics of Energy Meter Data in Smart Homes

Author : Sean Barker
Publisher :
ISBN 13 :
Total Pages : 110 pages
Book Rating : 4.:/5 (93 download)

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Book Synopsis Model-driven Analytics of Energy Meter Data in Smart Homes by : Sean Barker

Download or read book Model-driven Analytics of Energy Meter Data in Smart Homes written by Sean Barker and published by . This book was released on 2014 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proliferation of smart meter deployments has led to significant interest in analyzing home energy use as part of the emerging 'smart grid'. As buildings account for nearly 40% of society's energy use, data from smart meters provides significant opportunities for both utilities and consumers to optimize energy use, minimize waste, and provide insight into how modern homes and devices use energy. Meter data is often difficult to analyze, however, owing to the aggregation of many disparate and complex loads as well as relatively coarse measurement granularities. At utility scales, analysis is further complicated by the vast quantity of data, which precludes the use of computationally intensive techniques when monitoring hundreds or even thousands of homes. In this thesis, I present an architecture for enabling smart homes using smart energy meters, encompassing efficient data collection and analysis to understand the behavior of home devices. I consider four primary challenges within this domain: (1) providing low-overhead data collection and processing for many devices, (2) designing models characterizing the energy use of modern devices, (3) using these models to track the real-time behavior of known devices, and (4) automatic identification of unknown devices in the home. To enable practical smart homes, my proposed architecture combines low-cost, off-the-shelf sensing equipment with a hybrid local and cloud-based processing backend. To analyze data within the environment, I first characterize the basic device types present in today's homes (e.g., resistive, inductive, or non-linear) and distill the essential usage characteristics of each type. Using these characteristics, I construct a set of models that more accurately represents real-world devices than previous simplistic models. I then leverage this modeling framework to track the behavior of specific devices, using a technique that runs in close to real-time and can scale to many devices. Finally, I present a technique to automatically identify unknown devices attached to smart outlets in homes, which relieves homeowners of the need to manually describe devices in order to employ smart home optimizations.