Script to make SimBench grid model data sets usable with DigSilent Power Factory
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Oct 29, 2025 - Python
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simbench
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Tool to convert SimBench data sets to ie³'s power system data model
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Jun 30, 2026 - Scala
Do topology-aware grid foundation models survive feeder reconfiguration? SimBench MV study: the topology encoding is what transfers (2-8% voltage error on unseen feeders, flat across switching states) — with zero-shot, DC-baseline, and scale gaps named plainly.
topology pytorch power-systems smart-grid power-flow pandapower network-reconfiguration graph-neural-networks self-supervised-learning pytorch-geometric positional-encoding simbench distribution-grid foundation-models
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Jul 17, 2026 - Jupyter Notebook
Generative models of distribution-feeder operating data with power-flow guarantees: physics by representation beats physics by penalty. Full-year SimBench AC-PF datasets, graph-conditioned flows, calibrated pseudo-measurement generation — eight evidenced findings incl. three negative results.
pytorch state-estimation uncertainty-quantification power-systems normalizing-flows smart-grid power-flow synthetic-data generative-models pandapower energy-systems graph-neural-networks scenario-generation simbench distribution-grid physics-informed-machine-learning
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Jul 18, 2026 - Jupyter Notebook
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