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

[Max Parzen]

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"

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Best wishes,

Max

[Priyesh Gosai]

Wow! This is excellent Fabian, I will definitely add this to help our students. 

[Matthew Smith]

This is fantastic. I will start this tonight. Thank you.

[Nikhil]

Hi everybody,

Does this course require any credentials to gain access? Kindly assist in the same. 
I'd really appreciate your support!

Thanks

Nikhil