61 citations · 166 across the 10 of their papers we have counts for
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cs.LG2022★ 2 cited
Bucketized Active Sampling for Learning ACOPF
Michael Klamkin, Mathieu Tanneau, Terrence W. K. Mak +1
This paper considers optimization proxies for Optimal Power Flow (OPF), i.e., machine-learning models that approximate the input/output relationship of OPF. Recent work has focused…
eess.SY2022★ 3 cited
Learning Regionally Decentralized AC Optimal Power Flows with ADMM
Terrence W. K. Mak, Minas Chatzos, Mathieu Tanneau +1
One potential future for the next generation of smart grids is the use of decentralized optimization algorithms and secured communications for coordinating renewable generation (e.…