PyVWF: Python Virtual Wind Farm
Research EngineeringMethods for reducing systematic error in wind resource estimation pipelines, with emphasis on robust calibration and reproducible evaluation.
Open link ↗ellyess benmoufok
PhD candidate in Computational Science working across wind energy systems, optimisation workflows, and applied scientific software.
Principle
Formulate the system clearly.
Principle
Optimise under real constraints.
Principle
Stress-test assumptions with data.
Methods for reducing systematic error in wind resource estimation pipelines, with emphasis on robust calibration and reproducible evaluation.
Open link ↗Scenario design and optimisation experiments for large-scale energy system planning using PyPSA-Eur and scientific Python tooling.
Open link ↗A practical optimisation interface translating formal models into clear decision support for iterative strategy tuning.
Open link ↗Explorations in musical composition and sound design, blending technical precision with artistic expression.
Open link ↗