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Data Science and Applications for Modern Power Systems

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Data Science and Applications for Modern Power Systems Synopsis

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.

About This Edition

ISBN: 9783031291029
Publication date:
Author: Le Xie, Ram Rajagopal, Yang Weng
Publisher: Springer an imprint of Springer International Publishing
Format: Paperback
Pagination: 436 pages
Series: Power Electronics and Power Systems
Genres: Electrical engineering
Business mathematics and systems
Business applications
Databases

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