Hardcover. 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. Experts in data analytics and power engineering present theories addressing the needs of modern power systems. Covering theory and application to the solution of power system problems relating to reliability, efficiency, and security, this is an essential resource for graduate students and researchers in academia and industry. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliographic Details

Title: Advanced Data Analytics for Power Systems (Hardcover)
Publisher: Cambridge University Press, Cambridge
Publication Date: 2021
Language: English
ISBN 10: 1108494757
ISBN 13: 9781108494755
Binding: Hardcover
Condition: new

About this title

Synopsis

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.

About the Authors

Ali Tajer is Associate Professor of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute.

Samir M. Perlaza is a research scientist with the Institut National de Recherche en Informatique, Automatique et Math�matiques Appliqu�es (INRIA), France, and a visiting research scholar at the Department of Electrical Engineering of Princeton University.

H. Vincent Poor is the Michael Henry Strater University Professor of Electrical Engineering at Princeton University. He is a member of the US National Academy of Engineering, the US National Academy of Sciences, and a Fellow of the IEEE.

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