Interactive demos
Reinforcement learning
for the power grid
Renewables are being added faster than the network that has to carry them. These three demos run EnliteAI's agents on real grid topologies, proposing, pricing and simulating the operational decisions that keep the system inside its limits.
01
maze-flex
Grid Stability
288 decisions a day on transformer taps and injection setpoints, holding a real SimBench distribution grid inside its voltage and thermal limits, and curtailing only when nothing else will.
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02
Interactive Remedial
Action Assistant
Take the operator's seat for a simulated week: when a line approaches its thermal limit, the agent stops the clock, proposes switching plans and simulates each one before you decide.
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03
TSO Day-Ahead Planner
Plan a full day on a 118-substation benchmark grid and turn the trade-off into a dial, from free topology switching to paid redispatch, with every setting planned out and priced.
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