I will be delighted to be giving a talk at Brown Engineering next week.
Seminar at Brown Engineering
Category: Energy
Machine learning for fast and Scalable AC-OPT
Check the paper Spatial Network Decomposition for Fast and Scalable AC-OPF Learning for a machine learning approach to AC-OPF. The paper combines ideas from optimization and machine learning to obtain a fast and scalable learning approach.
Best Paper Award in the IEEE Transactions on Power Systems
Check our paper
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- V. Dvorkin, Jr., F. Fioretto, P. Van Hentenryck, P. Pinson, and J. Kazempour, “Differentially private optimal power flow for distribution grids,” IEEE Trans. Power Syst., vol. 36, no. 3, pp. 2186–2196, May 2021, doi: 10.1109/TPWRS.2020.3031314.
It won a best paper award for the IEEE Transactions on Power Systems.
The RAMC Project in Energy
In conjunction with MISO and Vanderbilt University, the RAMC project will explore new approaches to market clearing and security-constrained optimal power flows. It will leverage techniques from stochastic optimization, machine learning, and risk management to improve the use of renewable energy in large-scale energy systems.