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Open-source GENCO model speeds up power-grid calculations

IBM Research and collaborators including ETH Zurich have released GENCO, an open neural solver that handles power flow, generator optimisation and state estimation in one model. The team evaluated it using a full year of operational measurements from Hydro-Quebec's 1,200-node transmission network, alongside benchmark grids with up to 10,000 nodes.

The reported benchmarks show up to 30-fold faster power-flow calculations and up to 85-fold faster optimisation than the classical solvers used for comparison. The release includes training tools, models and datasets through OpenGridFM. GENCO is intended to screen large numbers of scenarios alongside established numerical solvers, which still provide authoritative answers for critical cases.

GENCO and the GridFM development framework. Diagram: IBM Research.

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