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M. Mohammadian

2 papers hereh-index 16667 citations48 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2
same name
  • M. Mohammadian — 1 paper, h 4
  • M. Mohammadian — 1 paper, h 8
  • M. Mohammadian — 1 paper, h 10

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedGradient-Enhanced Physics-Informed Neural Networks for Power Systems Operational Support

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 1 cited

Gradient-Enhanced Physics-Informed Neural Networks for Power Systems Operational Support

Mostafa Mohammadian, Kyri Baker, Ferdinando Fioretto

The application of deep learning methods to speed up the resolution of challenging power flow problems has recently shown very encouraging results. However, power system dynamics a…

cs.LG2021

Towards Understanding the Unreasonable Effectiveness of Learning AC-OPF Solutions

My H. Dinh, Ferdinando Fioretto, Mostafa Mohammadian +1

Optimal Power Flow (OPF) is a fundamental problem in power systems. It is computationally challenging and a recent line of research has proposed the use of Deep Neural Networks (DN…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.