PhD position - Learning Tailored Iterative Algorithms for Accelerating AC Power Flow Computations (HDS-LEE graduate school)
- Hiring Organisation
- Forschungszentrum Jülich GmbH
- Location
- Jülich, Nordrhein-Westfalen, Germany
- Employment Type
- Permanent
- Salary
- EUR Annual
similar, instances more efficiently than with general purpose algorithms such as Newton 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 … 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 Explore hybrid ML-classical ...