Energy Data Analytics For Smart Meter Data PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Energy Data Analytics For Smart Meter Data PDF full book. Access full book title Energy Data Analytics For Smart Meter Data.
Author | : Yi Wang |
Publisher | : Springer Nature |
Total Pages | : 306 |
Release | : 2020-02-24 |
Genre | : Business & Economics |
ISBN | : 9811526249 |
Download Smart Meter Data Analytics Book in PDF, ePub and Kindle
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 |
Publisher | : Mdpi AG |
Total Pages | : 346 |
Release | : 2021-09-23 |
Genre | : Technology & Engineering |
ISBN | : 9783036520162 |
Download Energy Data Analytics for Smart Meter Data Book in PDF, ePub and Kindle
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 | : Devendra Kumar Sharma |
Publisher | : Springer Nature |
Total Pages | : 466 |
Release | : 2024-01-03 |
Genre | : Computers |
ISBN | : 3031460928 |
Download Data Analytics for Smart Grids Applications—A Key to Smart City Development Book in PDF, ePub and Kindle
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.
Author | : Himansu Das |
Publisher | : Springer |
Total Pages | : 289 |
Release | : 2018-12-11 |
Genre | : Technology & Engineering |
ISBN | : 3030033597 |
Download Cloud Computing for Geospatial Big Data Analytics Book in PDF, ePub and Kindle
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 | : Ali Tajer |
Publisher | : Cambridge University Press |
Total Pages | : 601 |
Release | : 2021-04-08 |
Genre | : Computers |
ISBN | : 1108494757 |
Download Advanced Data Analytics for Power Systems Book in PDF, ePub and Kindle
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 | : Carol L. Stimmel |
Publisher | : CRC Press |
Total Pages | : 258 |
Release | : 2014-07-25 |
Genre | : Computers |
ISBN | : 1482218283 |
Download Big Data Analytics Strategies for the Smart Grid Book in PDF, ePub and Kindle
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.
Author | : Konstantin Hopf |
Publisher | : University of Bamberg Press |
Total Pages | : 283 |
Release | : 2019-07-15 |
Genre | : Computers |
ISBN | : 3863096681 |
Download Predictive Analytics for Energy Efficiency and Energy Retailing Book in PDF, ePub and Kindle
Author | : Sagnik De |
Publisher | : |
Total Pages | : 81 |
Release | : 2017 |
Genre | : Electric meters |
ISBN | : |
Download Energy Efficient Energy Analytics Book in PDF, ePub and Kindle
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.
Author | : Sudip Misra |
Publisher | : Cambridge University Press |
Total Pages | : 277 |
Release | : 2018-07-12 |
Genre | : Computers |
ISBN | : 1108475205 |
Download Smart Grid Technology Book in PDF, ePub and Kindle
Discusses concepts of smart grid technologies, from the perspective of integration with cloud computing and data management approaches.
Author | : Rajkumar Viral |
Publisher | : CRC Press |
Total Pages | : 220 |
Release | : 2023-12-22 |
Genre | : Computers |
ISBN | : 1003828027 |
Download Big Data Analytics Framework for Smart Grids Book in PDF, ePub and Kindle
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.