Hug, Gabriela, Prof. Dr.

Prof. Dr.  Gabriela Hug

Prof. Dr. Gabriela Hug

Professur El. Energieübertragung

ETL  G 26 

Physikstrasse 3

8092 Zürich


Additional information

Research area

Control and optimization in electric power systems with the objective to integrate renewable generation.

Curriculum Vitae


05/2004 - 04/2008: PhD in Information Technology and Electrical Engineering, Power Systems Laboratory, ETH Zurich

10/2004 - 04/2007: Degree in Higher Education Teaching, ETH Zurich

10/1999 - 04/2004: MSc in Information Technology and Electrical Engineering, ETH Zurich


Professional Experience

06/2015 - present: Associate Professor, Power Systems Laboratory, ETH Zurich

06/2015 - present: Adjunct Faculty, Electrical and Computer Engineering and Engineering and Pubic Policy, Carnegie Mellon University, Pittsburgh, USA

08/2011 - 05/2015: Affiliated Assistant Professor, Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, USA

07/2009 - 05/2015: Assistant Professor, Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, USA

05/2008 - 05/2009: Assistant Network Management Engineer, Special Studies Group, Hydro One, Toronto, Canada



Since Membership
2009 Member of IEEE Power Engineering Society
2005 IEEE Women in Engineering
2005 Student Member, Member, Senior Member of IEEE


Year Distinction
2016 Young Scientist Participant, Annual Meeting of the World Economic Forum
2015 Eta Kappa Nu Excellence in Teaching Award
2014 Raymond John Wean Foundation Career Development Professorship at Carnegie Mellon University
2013 George Tallman Ladd Award
2013 IEEE Power and Energy Society Outstanding Young Engineer Award
2013 US National Science Foundation Career Award
2008 ABB Research Award
2005 ETG Innovation Award
2004 ETH Medal

Course Catalogue

Autumn Semester 2017

Number Unit
227-0122-00L Introduction to Electric Power Transmission: System & Technology 
227-0526-00L Power System Analysis 
227-1631-00L Energy System Analysis 
Time aggregation for privacy-protecting EMU based on model-distribution predictive control
Jun-Xing Chin, Tomas Tinoco De Rubira and Gabriela Hug
2017 IEEE Manchester PowerTech, IEEE, 2017.
Energy Storage Sizing Taking into Account Forecast Uncertainties and Receding Horizon Operation
Kyri Baker, Gabriela Hug and Xin Li
IEEE Transactions on Sustainable Energy, 8 (1): 331-340, Piscataway, NJ: IEEE, 2017.
Real-Time Optimization of the Mid-Columbia Hydropower System
Andrew Hamann, Gabriela Hug and Stan Rosinski
IEEE Transactions on Power Systems, 32 (1): 157-165, New York, NY: IEEE, 2017.
Cost-effective Scheduling of Steel Plants with Flexible EAFs
Xiao Zhang, Gabriela Hug and Iiro Harjunkoski
IEEE Transactions on Smart Grid, 8 (1): 239-249, Piscataway, NJ: IEEE, 2017.
Privacy-Protecting Energy Management Unit through Model-Distribution Predictive Control
Jun-Xing Chin, Tomas Tinoco De Rubira and Gabriela Hug
IEEE Transactions on Smart Grid, Piscataway, NJ: IEEE, 2017.
Steady-state analysis of power system harmonics using equivalent split-circuit models
Marko Jereminov, Amritanshu Pandey, David M. Bromberg, Xin Li, Gabriela Hug and Larry Pileggi
2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 7856199, Piscataway, NJ: IEEE, 2017.
Decomposed algorithm for risk-constrained AC OPF with corrective control by series FACTS devices
Dmitry Shchetinin and Gabriela Hug
Electric Power Systems Research, 141: 344-353, Amsterdam: Elsevier, 2016.
A Multi-Time Scale Co-Optimization Method for Sizing of Energy Storage and Fast-Ramping Generation
Amin Kargarian, Gabriela Hug and Javad Mohammadi
IEEE transactions on sustainable energy, 7 (4): 1351-1361, Piscataway, NJ: IEEE, 2016.
Comprehensive power transfer distribution factor model for large-scale transmission expansion planning
Mohsen Rahmani, Amin Kargarian and Gabriela Hug
IET Generation, Transmission and Distribution, 10 (12): 2981-2989, Stevenage: IET, 2016.
Integration of Optimal Storage Operation into Marginal Cost Curve Representation
Gabriela Hug
Energy Systems, 7 (3): 391-409, Berlin: Springer, 2016.
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