Simulate energy strategies with precision

Build on your validated baseline using AI-powered modelling to test real-world scenarios — from solar and storage to demand response and tariff optimisation.

Imagine what-if scenarios like:

  • Load shifting with smart HVAC controls
  • Reducing maximum demand by 30%
  • Scaling solar PV by 200%
  • Installing batteries for wholesale arbitrage
  • Or optimising all of the above

Advanced simulations powered by AI and microeconometrics

Deep Energy AI models operating conditions across internal and external datasets — including consumption, cost, weather, and wholesale price — to evaluate financial and environmental outcomes.

  • Baseline analysis
    Start with a validated baseline to assess the impact of any strategy. Deep Energy AI models electrical loads, maximum demand, charge groups, and tariffs — giving you a clear picture of current performance.
  • Solar + Battery on wholesale pass-through
    Simulate 100 kW solar and 100 kW battery under a wholesale pass-through contract. See reduced consumption during peak hours, lower charges in morning/evening peaks, and elimination of retail peak/shoulder pricing.
  • Smart HVAC controls
    Layer smart HVAC controls onto your solar and battery strategy. Reduce consumption by 30%, cut maximum demand by 50%, and unlock broad cost savings — all modeled against real interval data.
  • Power factor optimisation
    Model the financial impact of improving power factor from 0.85 to 0.95. Reduce kVA-based demand charges and avoid penalties — especially under network tariffs with reactive power components.
  • Solar & battery optimiser
    Use Deep Energy AI’s optimizer to size solar and battery systems for maximum ROI. Simulate combinations across load profiles, wholesale price curves, and tariff structures — and find the sweet spot for investment.
  • Baseline analysis
    Start with a validated baseline to assess the impact of any strategy. Deep Energy AI models electrical loads, maximum demand, charge groups, and tariffs — giving you a clear picture of current performance.
  • Solar + Battery on wholesale pass-through
    Simulate 100 kW solar and 100 kW battery under a wholesale pass-through contract. See reduced consumption during peak hours, lower charges in morning/evening peaks, and elimination of retail peak/shoulder pricing.
  • Smart HVAC controls
    Layer smart HVAC controls onto your solar and battery strategy. Reduce consumption by 30%, cut maximum demand by 50%, and unlock broad cost savings — all modeled against real interval data.
  • Power factor optimisation
    Model the financial impact of improving power factor from 0.85 to 0.95. Reduce kVA-based demand charges and avoid penalties — especially under network tariffs with reactive power components.
  • Solar & battery optimiser
    Use Deep Energy AI’s optimizer to size solar and battery systems for maximum ROI. Simulate combinations across load profiles, wholesale price curves, and tariff structures — and find the sweet spot for investment.
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