Data Science and Applications for Modern Power Systems /

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 incr...

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Bibliographic Details
Main Authors: Xie, Le (Author), Weng, Yang (Author), Rajagopal, Ram (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2023.
Edition:1st ed. 2023.
Series:Power Electronics and Power Systems,
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary: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. Presents a comprehensive review of data sciences for the power industry; Contains state-of-the-art research articles; Provides practical algorithms and case studies.
Physical Description:1 online resource (XV, 436 pages 227 illustrations, 200 illustrations in color.)
ISBN:9783031291005
ISSN:2196-3193
DOI:10.1007/978-3-031-29100-5