Advanced Data Analytics for Power Systems

Experts in data analytics and power engineering present theories addressing the needs of modern power systems.

Ali Tajer (Edited by), Samir M. Perlaza (Edited by), H. Vincent Poor (Edited by)

9781108494755, Cambridge University Press

Hardback, published 8 April 2021

598 pages
25.1 x 17.5 x 3.4 cm, 1.26 kg

'The editors have brought together leading researchers at the intersection of data analytics and power systems to provide us with an authoritative reference that is comprehensive, coherent and timely. It treats classical topics such as state estimation, optimal power flow, and anomaly identification, as well as emerging topics such as phase measurement unit data recovery and privacy, probabilistic price forecasting, and distributed load management. It introduces a wide array of modern techniques to power system analysis from sparse representation, graph signal processing, distributed and feedback optimization, statistics and random matrix theory, deep learning, and mean field games. A useful reference for students, researchers, and practitioners.' Steven Low, Caltech

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.

Introduction
Preface Ali Tajer, Samir M. Perlaza and H. Vincent Poor
1. Learning power grid topologies Guido Cavraro, Vassilis Kekatos, Liang Zhang and Georgios B. Giannakis
2. Probabilistic forecasting of power system and market operations Yuting Ji, Lang Tong and Weisi Deng
3. Deep learning in power systems Yue Zhao and Baosen Zhang
4. Estimating the system state and network model errors Ali Abur, Murat Gol and Yuzhang Lin
5. Quickest detection and isolation of tranmission line outages Venugopal V. Veeravalli and Alejandro Dominguez-Garcia
6. Active sensing for quickest anomaly detection Ali Tajer and Javad Heydari
7. Random matrix theory for analyzing spatio-temporal data Robert Qiu, Xing He, Lei Chu and Xin Shi
8. Graph-theoretic analysis of power grid robustness Dorcas Ofori-Boateng, Asim Kumer Dey, Yulia R. Gel and H. Vincent Poor
9. Bayesian attacks Inaki Esnaola, Samir M Perlaza and Ke Sun
10. Smart meter data privacy Giulio Giaconia, Deniz Gunduz and H. Vincent Poor
11. Data quality and privacy enhancement Meng Wang and Joe H Chow
12. Frequency estimation using voltage phasor angles revisited Danilo P. Mandic, Sithan Kanna, Yili Xia and Anthony G. Constantinides
13. Graph signal processing for the power grid Anna Scaglione, Raksha Ramakrishna and Mahdi Jamei
14. A sparse representation approach for anomaly identification Hao Zhu and Chen Chen
15. Uncertainty-aware power systems operation Daniel Bienstock
16. Distributed optimization for power and energy systems Emiliano Dall'Anese and Nikolaos Gatsis
17. Distributed load management Changhong Zhao, Vijay Gupta and Ufuk Topcu
18. Analytical models for emerging energy storage applications I. Safak Bayram and Michael Devetsikiotis
19. Distributed power consumption scheduling Samson Lasaulce, Olivier Beaude and Mauricio Gonz´alez
20. Electric vehicles and mean-field Dario Bauso and Toru Namerikawa
21. Prosumer behaviour: decision making with bounded horizon Mohsen Rajabpour, Arnold Glass, Robert Mulligan and Narayan B. Mandayam
22. Storage allocation for price volatility management in electricity markets Amin Masoumzadeh, Ehsan Nekouei and Tansu Alpcan.

Subject Areas: Computer networking & communications [UT], Electronics & communications engineering [TJ], Energy technology & engineering [TH], Applied mathematics [PBW], Data analysis: general [GPH]