Advanced Data Analytics for Power Systems

Ali Tajer (1) , Samir M. Perlaza (2) , Harold Vincent Poor (3)

1 RPI - Rensselaer Polytechnic Institute
2 NEO - Network Engineering and Operations
3 EE - Department of Electrical Engineering [Princeton]

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.

Domaines: Energie électrique; Informatique [cs]; Intelligence artificielle [cs.AI]; Recherche d'information [cs.IR]; Théorie de l'information [cs.IT]; Apprentissage [cs.LG]; Théorie de l'information et codage [math.IT]; Sciences de l'ingénieur [physics]

Ali Tajer, Samir M. Perlaza, Harold Vincent Poor (Dir.). Advanced Data Analytics for Power Systems. Ali Tajer; Samir M. Perlaza; H. Vincent Poor. Cambridge University Press, 2021, 1108494757. ⟨10.1017/9781108859806⟩. ⟨hal-03128425⟩