Smart Meter Data Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Smart Meter Data Analytics write by Yi Wang. This book was released on 2020-02-24. Smart Meter Data Analytics available 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.
Energy Data Analytics for Smart Meter Data
Energy Data Analytics for Smart Meter Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Energy Data Analytics for Smart Meter Data write by Andreas Reinhardt. This book was released on 2021-09-23. Energy Data Analytics for Smart Meter Data available 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.
Data Analytics for Smart Grids Applications—A Key to Smart City Development
Data Analytics for Smart Grids Applications—A Key to Smart City Development - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Analytics for Smart Grids Applications—A Key to Smart City Development write by Devendra Kumar Sharma. This book was released on 2024-01-03. Data Analytics for Smart Grids Applications—A Key to Smart City Development available 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.
Advanced Data Analytics for Power Systems
Advanced Data Analytics for Power Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advanced Data Analytics for Power Systems write by Ali Tajer. This book was released on 2021-04-08. Advanced Data Analytics for Power Systems available 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.
Cloud Computing for Geospatial Big Data Analytics
Cloud Computing for Geospatial Big Data Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Cloud Computing for Geospatial Big Data Analytics write by Himansu Das. This book was released on 2018-12-11. Cloud Computing for Geospatial Big Data Analytics available 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.
