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  • 1
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    UID:
    almahu_9948687184002882
    Format: 1 online resource (xxii, 557 pages) : , digital, PDF file(s).
    ISBN: 9781108859806 (ebook)
    Content: 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.
    Note: Title from publisher's bibliographic system (viewed on 26 Mar 2021).
    Additional Edition: Print version: ISBN 9781108494755
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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