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Predictive Control for Energy & Utilities

Maximize output, minimize curtailment, and respond to grid demands in real time.

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Challenges

  • Curtailment from inability to forecast and pre-position assets
  • Grid frequency deviations requiring rapid response
  • Thermal inertia making reactive control too slow
  • Competing objectives: yield vs. equipment life vs. grid tariff

How We Help

Trajectory Optimisation

Compute optimal operating setpoints for wind, solar, or hydro assets across a prediction horizon.

Demand Response MPC

Shift loads and storage dispatch in response to real-time price signals.

State Estimation

Build virtual sensors to estimate unmeasurable process states (temperatures, flow rates, SOC).

Relevant Design Patterns

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Let's discuss how model-predictive control can address your specific challenges. A 30-minute call is enough to assess feasibility.

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