Simulate energy strategies with precision
Build on your validated baseline using AI-powered modelling to test real-world scenarios
Imagine what-if scenarios like...
- Load shifting with smart HVAC controls
- Reducing maximum demand by 30%
- Improving power factor
- Finding the best size PV system
- Installing batteries for wholesale arbitrage
- Changing network/retail tariff or wholesale price
- 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.
