Open source tools for the power sector
summary
Combines an open hydrology and orchestration stack with market modelling by proposing to merge Shift (hydrology, geo wiring, orchestration, C++ core with Python bindings, and DTSS for distributed time series) with PyPSA (grid topology and optimization plus connectors to open and commercial solvers) so the Nordic grid can be modelled end-to-end; current gaps are no built-in solver in Shift, fragile cross‑distro installability (tested on a 128 GB laptop but some runs need ~100 GB RAM), and work toward an open Nordic dataset and a formal foundation.
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chapters (12)
- 0:00Open source in power sector
- 3:06Power markets supply-demand
- 6:36Power market modeling challenges
- 9:47Data and forecasting needs
- 12:14Shift goals and tooling vision
- 13:40Shift toolbox capabilities
- 16:52Shift with Python for analysis
- 18:57Limitations of open tools
- 21:08Cross-platform compatibility issues
- 22:35Shift foundation and funding
- 24:41Shift improvement priorities
- 25:24Q&A
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