DSC-3 solves unit commitment, grid topology, and storage arbitrage problems in milliseconds for networks with thousands of nodes.
Balancing intermittent renewable sources with baseload demand requires continuous optimization under uncertainty.
Maintaining frequency and voltage stability across distributed generation requires real-time optimization of thousands of nodes.
Scheduling maintenance, dispatch, and capacity allocation across a fleet of generation and storage assets with competing objectives.
Generator scheduling with ramp rates, minimum up/down times, and reserve requirements. Optimize dispatch as QUBO problems at grid speed.
Switching operations and network reconfiguration under fault conditions. Topological analysis identifies critical nodes and optimal paths.
Battery charge/discharge optimization across time-of-use pricing, demand response events, and ancillary service markets.
Intermittent source balancing and curtailment minimization. Optimize renewable dispatch alongside conventional generation in real time.
Load aggregation and incentive-compatible scheduling. Optimize demand-side participation across customer segments and time horizons.
Line routing, capacity expansion, and congestion relief optimization. Evaluate network upgrade scenarios at scale in milliseconds.
| Problem | DSC-3 (RTX 5070 Ti) | GAMS | Heuristic Dispatch |
|---|---|---|---|
| 500-node unit commitment | 18ms | 8.2s | 0.5s (suboptimal) |
| 2,000-node grid dispatch | 62ms | 2.4min | 1.8s (suboptimal) |
| 5,000-node topology optimization | 280ms | timeout | infeasible |
Submit network topology, generator parameters, and demand forecasts via REST API. Standard power systems data formats supported.
DSC-3 maps grid constraints to QUBO matrices. Seven solvers compete in parallel on GPU hardware to find optimal dispatch.
Receive generator schedules, switching orders, and storage commands with constraint verification and cryptographic audit trails.
AxiomLattice.io uses DSC-3's Ising solver cascades and topological analysis to autonomously screen candidate materials for battery electrolytes, high-entropy alloys, and semiconductors — with every discovery cryptographically verified.