Data-Driven Operation of Power Systems
Data-Driven Operation of Power Systems
Discover cutting-edge insights on the data-driven operation of power systems in a lecture by Professor Mostafa Farrokhabadi, University of Calgary.
This talk presents an evolving line of multidisciplinary research in data-driven operation of power systems, with a focus on electrical distribution systems. The talk will discuss several learning approaches, including reinforcement, imitation, convex, and operator learning, as well as data-driven modeling. Presented use cases span applications from time-domain simulation to optimal operation of distributed energy resources. The talk will close with a brief discussion on future directions.
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- 1125 Colonel By Dr
- Ottawa, Ontario
- Canada K1S 5B6
- Building: Mackenzie Building (ME)
- Room Number: 4332
Speakers
Professor Mostafa Farrokhabadi
Professor Mostafa Farrokhabadi received his Ph.D. in Electrical and Computer Engineering from the University of Waterloo, ON, Canada. He is currently an Assistant Professor with the Department of Electrical and Software Engineering, University of Calgary, AB, Canada, where he leads the Distribution Grids Research & Innovation (DGRI) Lab. His research interests include data-driven modeling, operation, and control of electrical power systems, with a specific interest in electrical distribution systems and microgrids. Before joining the University of Calgary, Mostafa was with BluWave-ai, ON, Canada, as the first employee and technical leader, scaling up the company's technology stack on cloud-based electrical energy solutions to Series A. Mostafa has received several research, teaching, service, and entrepreneurship awards and was selected by the Royal Society of Canada among the 21 early-career scientists representing Canada at the 2021 Commonwealth Science Conference. He is an Ontario Professional Engineer (P.Eng.) and a Senior Associate Editor of the IEEE Transactions on Smart Grid, among several other professional and service appointments.