Panayiotis (Panos) Moutis, PhD, is Assistant Professor at the Dept. of Electrical Engineering at the City College of New York. He has previously been Special Faculty (2018-23) and postdoctoral research associate (2016-18) at Carnegie Mellon University. Panos studies pragmatic-data-driven optimization, control and planning of electrical grids with high shares of renewables. He has recently been working with the grid operator of Portugal, REN, the moonshot factory of Google, X, and the grid operator of NY, NYISO. Between 2018-20 he served as a Marie Curie Research Fellow with DEPsys, Switzerland, on distribution grid awareness. In 2014 he was awarded a fellowship by Arup, UK (through the University of Greenwich), to study microgrids for residential communities. During 2007-15, as part of Prof. Nikos Hatziargyriou’s research group he contributed to over a dozen R&D projects funded by the European Commission. Panos received both his diploma (2007) and his PhD (2015) degrees in Electrical and Computer Engineering at the National Technical University of Athens, Greece, and has published more than 30 papers and contributed to 4 book chapters. He has over 10 years of industry experience on Renewable Energy and Energy Efficiency, and serves as advisor and executive in energy start-ups. He is a senior member of the IEEE, Chair of the IEEE-USA Energy Policy Committee, co-lead of the Distribution Task Team at NASPI and of the Power & Energy Community of the Climate Change AI initiative, senior editor of IEEE & IET scientific journals, and member of IEEE standards working groups. Personal Website for more information: https://panay1ot1s.com/ 

2002-07: MSc, School of Electrical & Computer Engineering, National Technical University of Athens Greece
2007-15: PhD, School of Electrical & Computer Engineering, National Technical University of Athens Greece

Electric Power Engineering - EE 35700

Renewable Energy, Power Systems, Control Systems, Machine Learning, Optimization, Smart Grid

1. Moutis P, Thakar P. Stochasticity agnostic solution to the AC optimal power flow by recursive bound tightening with top‐down heuristically inducted binary decision trees. IET Generation, Transmission & Distribution. 2023
2. He G, Ciez R, Moutis P, Kar S, Whitacre JF. The economic end of life of electrochemical energy storage. Applied Energy. 2020
3. Moutis P, Georgilakis PS, Hatziargyriou ND. Voltage regulation support along a distribution line by a virtual power plant based on a center of mass load modeling. IEEE Transactions on Smart Grid. 2016
4. Moutis P, Sriram U. PMU-driven non-preemptive disconnection of overhead lines at the approach or break-out of forest fires. IEEE Transactions on Power Systems. 2022
5. Moutis P, Papathanassiou SA, Hatziargyriou ND. Improved load-frequency control contribution of variable speed variable pitch wind generators. Renewable Energy. 2012