Arturo Bretas
Distinguished Member of Technical Staff
Biography
I am a Distinguished Member of Technical Staff with Sandia National Laboratories.
I support a variety of R&D projects related to the development of Models, Processes and Tools for Cybersecurity of Energy Sector Critical Infrastructure. Towards achieving these goals, my current research lies on the general theme of Distributed Wide-Area Measurement Systems Applications in Cyber-Physical Systems (CPS).
I have worked as a PI/Co-PI on many R&D projects with the Power Industry. These projects concern, for example, CPS Cybersecurity, Artificial Intelligence and Machine Learning, Distributed Optimization and Control, Power System Stability and Real-Time Monitoring, Distribution Systems Reliability Optimization and Expansion Planning under Uncertain Operation Scenarios.
I have published many papers on peer-reviewed conferences and journals, as well as a textbook on Cyber-Physical Power Systems State Estimation.
Education
Ph.D., Virginia Tech 2001
M.Sc., University of Sao Paulo, 1998
B.Sc., University of Sao Paulo, 1995
Publications
Cyber-Physical Power Systems State Estimation. Bretas, A. S. ; Bretas, N. G. ; London, J. B. ; Carvalho, B. E. Elsevier, 2021.
Hybrid Data-Driven Physics Model-Based Framework for Enhanced Cyber-Physical Smart Grid Security. Ruben, C. ; Dhulipala, S. ; Nagaraj, K. ; Zou, S. ; Starke, A. ; Bretas, A. S. ; Zare, A. ; McNair, J.. IET Smart Grid. April 2020.
Smart Grids Cyber-Physical Security: Parameter Correction Model Against Unbalanced False Data Injection Attacks. Zou, T., Bretas, A.S. ; Ruben, C. ; Dhulipala, S.C. ; Bretas, N.. Electric Power Systems Research, 2020, 187, 106490.
Further Contributions to Smart Grids Cyber-Physical Security as a Malicious Data Attack: Proof and Properties of the Parameter Error Spreading out to the Measurements and a Relaxed Correction Model. Bretas, A.S. ; Bretas, N.G. ; Carvalho, B.E.B.. International Journal of Electrical Power and Energy Systems, 2019, 104, pp. 43–51.
A Distributed Control Approach for Enhancing Smart Grid Transient Stability and Resilience. Ayar, M. ; Obuz, S. ; Trevizan, R.D. ; Bretas, A.S. ; Latchman, H.A.. IEEE Transactions on Smart Grid, 2017, 8(6), pp. 3035–3044.
Identifying Nontechnical Power Loss via Spatial and Temporal Deep Learning. Bhat, R.R. ; Trevizan, R.D. ; Sengupta, R. ; Li, X. ; Bretas, A.. Proceedings – 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016, 2017, pp. 272–279.
Smart Grids Cyber-Physical Security as a Malicious Data Attack: An Innovation Approach. Bretas, A.S. ; Bretas, N.G. ; Carvalho, B. ; Baeyens, E. ; Khargonekar, P.P.. Electric Power Systems Research, 2017, 149, pp. 210–219.
Artificial Neural Networks in Power System Restoration. Bretas, A.S. ; Phadke, A.G.. IEEE Transactions on Power Delivery, 2003, 18(4), pp. 1181–1186.