New free Python course on "Data Science for Energy System Modelling" by Fabian Neumann

[Max Parzen]

Dear Openmoders,

Great news, Fabian Neumann shared his course material about Data Science for Energy System Modelling https://fneum.github.io/data-science-for-esm/intro.html This is probably the best way to get ready for energy modelling in Python within the PyPSA universe or other Python model frameworks.

His message: "This semester I taught a new course at TU Berlin on energy system modelling and data science, for which I built a small website with energy-focused Python tutorials. The course offers many hands-on introductions to various libraries that are useful for energy system modelling and processing data more generally. It includes tutorials and examples for getting started with Python, numpy, matplotlib, pandas, geopandas, cartopy, rasterio, atlite, networkx, pyomo, pypsa, plotly, hvplot, and streamlit. Topics covered include:
- time series analysis (e.g. wind and solar production)
- tabular data (e.g. LNG terminals)
- geographical data (e.g. location of power plants)
- data visualisation
- converting weather data to renewable generation
- land eligibility analysis (e.g. where to build wind turbines)
- optimisation
- electricity market modelling
- power flow modelling (linearised)
- capacity expansion planning
- sector-coupling
- interactive visualisation and dashboarding"

Feel free to share the news such that other people hear about the excellent material:

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Best wishes,

Max

PhD candidate at the University of Edinburgh
Co-Director of the PyPSA meets Earth initiative

Recent openmod post: 13 power systems around the world