Published January 1, 2021
| Version v1
Book
Advanced Data Analytics for Power Systems
Creators
Contributors
Others:
- Rensselaer Polytechnic Institute (RPI)
- Network Engineering and Operations (NEO ) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- Department of Electrical Engineering [Princeton] (EE) ; Princeton University
- Ali Tajer
- Samir M. Perlaza
- H. Vincent Poor
Description
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.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://hal.archives-ouvertes.fr/hal-03128425
- URN
- urn:oai:HAL:hal-03128425v1
Origin repository
- Origin repository
- UNICA