Overview
- Presents a comprehensive review of data sciences for the power industry
- Contains state-of-the-art research articles
- Provides practical algorithms and case studies
Part of the book series: Power Electronics and Power Systems (PEPS)
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Table of contents (9 chapters)
Keywords
About this book
This book offers a comprehensive collection of research articles that utilize data—in particular large data sets—in modern power systems operation and planning. As the power industry moves towards actively utilizing distributed resources with advanced technologies and incentives, it is becoming increasingly important to benefit from the available heterogeneous data sets for improved decision-making. The authors present a first-of-its-kind comprehensive review of big data opportunities and challenges in the smart grid industry. This book provides succinct and useful theory, practical algorithms, and case studies to improve power grid operations and planning utilizing big data, making it a useful graduate-level reference for students, faculty, and practitioners on the future grid.
Authors and Affiliations
About the authors
Bibliographic Information
Book Title: Data Science and Applications for Modern Power Systems
Authors: Le Xie, Yang Weng, Ram Rajagopal
Series Title: Power Electronics and Power Systems
DOI: https://doi.org/10.1007/978-3-031-29100-5
Publisher: Springer Cham
eBook Packages: Energy, Energy (R0)
Copyright Information: Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-29099-2Published: 21 June 2023
Softcover ISBN: 978-3-031-29102-9Due: 22 July 2023
eBook ISBN: 978-3-031-29100-5Published: 20 June 2023
Series ISSN: 2196-3185
Series E-ISSN: 2196-3193
Edition Number: 1
Number of Pages: XV, 436
Number of Illustrations: 27 b/w illustrations, 200 illustrations in colour
Topics: Power Electronics, Electrical Machines and Networks, Big Data, Big Data/Analytics