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lukasschirren/README.md

Research Interests

Themes Methods
  • Open-source energy system modelling
  • Deep decarbonisation
  • Energy resilience
  • Machine learning for energy
  • Uncertainty quantification
  • Geospatial analysis
  • Optimisation & operations research
  • Sensitivity Analysis

Skills

<Python> Julia <Java> <C> Shell Script <PostgreSQL> <MySQL> <HTML5> <CSS. PowerBI Jupyter Notebook

Pinned Loading

  1. ClimateCompatibleGrowth/Geo-X ClimateCompatibleGrowth/Geo-X Public

    Python 6 2

  2. GeoH2-Laos GeoH2-Laos Public

    Application of a tailored GeoH2 version to Laos.

    Jupyter Notebook

  3. ClimateCompatibleGrowth/Slope-Exclusion ClimateCompatibleGrowth/Slope-Exclusion Public

    A Python tool for creating slope-based exclusion masks to support renewable energy planning.

    Jupyter Notebook

  4. DBM_GoLang DBM_GoLang Public

    A database programmed in GoLang and connected to the PostgreSQL. Includes the TYNDP data (transmission projects from the year 2018) based on simple ER-Model.