Job Description

Your Job:

Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Netwon`s method. In particular, we aim to develop a neural network architecture that will allow us to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design‑space exploration, and on‑line operational optimization of power systems.


Your tasks in detail:

  • Become familiar with our previously developed neural network superstructure for learning iterative algorithms

  • Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference

  • Investigate scaling and performance bottlenecks

  • ...

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