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Aminos379/README.md

Mohammed Amine Mokhtari

Energy Engineering · Renewable Energy · Power & Thermal Systems · Python

Master's student in energy engineering at Aix-Marseille University, with experience in renewable-energy systems, electrical integration, thermal engineering and energy efficiency.

I use Python and engineering simulation tools for physical modelling, energy-data analysis and forecasting. My interests include PV grid integration, power systems, thermal engineering, EV charging and energy-system optimisation.

Featured engineering projects

One-hour-ahead forecasting of Spanish electricity demand using Python and LSTM, comparing historical load, calendar and observed-weather inputs.

  • 168-hour history; chronological training on 2015–2016, validation on 2017 and final testing on 2018.
  • Best tested LSTM: MAE 375.39 MW · RMSE 567.41 MW · MAPE 1.30%.
  • Persistence and TSO benchmarks, with hourly, monthly and seasonal error analysis.
  • Calendar features improved the LSTM; weather did not improve it further in this experiment. The supplied TSO forecast performed better, although its issue time and information set are unknown.

Academic project completed with Aymen EZZAHRI. The repository contains the methods, code, measured results and figures.

A Python extension of an earlier 1D Fortran model, studying transient conduction through a wall with a localised hot patch.

  • Explicit finite differences in three spatial dimensions, with a checked stability criterion.
  • Analytical benchmark, grid-refinement verification on a smooth test case, and comparisons with an equivalent 1D solution and a known steady state.
  • Temperature slices, a 3D cutaway and centreline profiles to interpret heat spreading.

The model covers solid conduction only. Convection, radiation and multilayer materials are possible extensions; the default hot-patch case still requires its own convergence study.

Engineering background

My internships include PV grid integration and performance analysis at OCP, fast EV charging and associated PV design at Métropole Aix-Marseille-Provence, energy efficiency and HVAC at Capclim Énergie, and solar-thermal systems at ONEE.

This background connects electrical and thermal systems with energy audits, engineering design and numerical analysis.

Technical tools

Area Tools
Energy and simulation PVsyst · Pleiades · TRNSYS . Civil 3D
Engineering design AutoCAD · Revit · QGIS
Programming and analysis Python · MATLAB · Excel
Version control Git

Current focus

Energy systems · Physical modelling · Data analysis · Optimisation

Interested in R&D involving renewable-energy integration, power systems, electricity forecasting and thermal engineering.

LinkedIn

Languages: French · English · Arabic

Pinned Loading

  1. 3D-Transient-Heat-Transfer 3D-Transient-Heat-Transfer Public

    3D transient heat conduction simulation of a furnace wall using an explicit finite-difference method in Python.

    Python

  2. Spain-Electricity-Demand-Forecasting Spain-Electricity-Demand-Forecasting Public

    One-hour-ahead electricity demand forecasting for Spain using historical load, calendar and weather information, compared with persistence and TSO benchmarks.

    Python