Open Source Power Electronics Tools
https://github.com/upb-lea/awesome-open-source-power-electronics
Lists open source power electronics tools

FEM Magnetics Toolbox (FEMMT)
https://github.com/upb-lea/FEM_Magnetics_Toolbox
An open-source FEM Magnetics Toolbox for power electronic magnetic components

Transistor Database (TDB)
https://github.com/upb-lea/transistordatabase
Download Transistor Database
A unified software engineering tool for managing and evaluating power transistors.

Inkscape Electric Symbols
https://github.com/upb-lea/Inkscape_electric_Symbols
Contains block diagrams and symbols. For use with Inkscape (open-source vector drawing programme), runs on Linux, Mac and Windows.

Gym Electric Motor (GEM)
https://github.com/upb-lea/gym-electric-motor
A Python-based toolbox for simulating various electric motors, including power electronic converters and mechanical loads. A highly flexible user interface enables the simulation of a wide variety of operational scenarios, such as in automation or traction applications. The toolbox is based on the OpenAI Gym interface definitions and therefore allows flexible integration with any control techniques. In particular, the investigation of data-driven reinforcement learning approaches is highlighted.

OpenModelica Microgrid Gym (OMG)
https://github.com/upb-lea/openmodelica-microgrid-gym
A Python-based package for the simulation and control optimisation of microgrids based on energy conversion by power electronic converters.
The main features of the toolbox are the plug-and-play grid design and simulation in OpenModelica, as well as the ready-to-use implementation of intuitive reinforcement learning (RL) methods via a Python interface. Furthermore, the toolbox enables the testing and validation of other arbitrary methods, such as linear feedback or model predictive control.

Deep Motor Temperature Estimation
https://github.com/upb-lea/deep-pmsm
A supervised machine learning pipeline based on Keras/TensorFlow to estimate key motor temperatures of permanent magnet synchronous motors using only standard motor control measurement signals under real-time conditions. In particular, deep recurrent and convolutional networks are considered for the investigation. Based on real laboratory test bench measurements.

LaTeX Thesis template
https://github.com/upb-lea/thesis_latex_template
This is a LaTeX document template for LEA students writing a project report or a thesis.