Advanced data analytics for power systems / edited by Ali Tajer, Samir M. Perlaza, H. Vincent Poor.
Contributor(s): Tajer, Ali [editor.]
| Poor, H. Vincent [editor.] | Perlaza, Samir M [editor.].
Material type: 
BookPublisher: Cambridge : Cambridge University Press, 2021Description: 1 online resource (xxii, 557 pages) : digital, PDF file(s).Content type: text Media type: computer Carrier type: online resourceISBN: 9781108859806 (ebook).Subject(s): Electric power systems -- Mathematical modelsAdditional physical formats: Print version: : No titleDDC classification: 621.3101/5118 Online resources: Click here to access online Summary: 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.
Title from publisher's bibliographic system (viewed on 26 Mar 2021).
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.
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