Advanced data analytics for power systems / edited by Ali Tajer, Samir M. Perlaza, H. Vincent Poor.

Format:

Book

Contributor:

Tajer, Ali, editor.

Poor, H. Vincent, editor.

Perlaza, Samir M., editor.

Language:

English

Subjects (All):

Electric power systems--Mathematical models.

Electric power systems.

Physical Description:

1 online resource (xxii, 557 pages) : digital, PDF file(s)

Place of Publication:

Cambridge : Cambridge University Press, 2021.

System Details:

text file

PDF

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.

Notes:

Title from publisher's bibliographic system (viewed on 26 Mar 2021).

Other Format:

Print version:

ISBN:

9781108859806

Access Restriction:

Restricted for use by site license.