Learn transferable grid geometry
A manifold-informed model learns topology-independent structure instead of memorizing one feeder.
Technology
Zero-shot transfer with an operator-facing trust layer.
WattsMIND Grid Agent stands for Manifold-Informed Neural Dual-encoder. The engine uses shared grid-state geometry to transfer across changing networks while still reporting when the transfer is valid.
Align dual encoders
A deployable encoder is kept aligned with the richer physics pathway available during training.
Issue a trust certificate
Each inference carries an operational signal for when to trust, adapt, or escalate.
Select feasible action
The control engine moves on a constraint-satisfying action manifold in milliseconds.