Advanced data analytics for power systems /
edited by Ali Tajer, Samir M. Perlaza, H. Vincent Poor.
- 1 online resource (xxii, 557 pages) : digital, PDF file(s).
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.
9781108859806 (ebook)
Electric power systems--Mathematical models.
TK1001 / .A36 2021
621.3101/5118
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.
9781108859806 (ebook)
Electric power systems--Mathematical models.
TK1001 / .A36 2021
621.3101/5118