Lower-cost charging
Smart charging targets lower-cost windows such as overnight or solar-rich periods, instead of charging blindly.
Market price guide
Average electricity price guide by state and time period
Use this guide to understand where lower-cost charging windows and higher-value evening export windows may occur. Prices are indicative averages and are updated from market data.
Updating latest market price guide...
| State | Charge Rates (c/kWh) | Feed-in Tariff 5pm–8pm |
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|---|---|---|---|---|---|---|
| Overnight 12am–6am |
Morning 6am–10am |
Noon 10am–2pm |
Afternoon 2pm–5pm |
Evening 5pm–9pm |
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Disclaimer: Average prices are calculated from National Electricity Market (NEM) 5-minute settlement data. Values are indicative only and actual customer outcomes vary by retailer product, network, tariff, export limits, battery/inverter constraints, weather, demand, and market conditions.
Use conservative assumptions
Savings depend on battery size, charge-discharge spread, tariff structure, reserve settings, household demand, and forecast confidence. This calculator is only an indicative planning tool and not a guaranteed result.
The calculator auto-fills charge price and peak discharge value from the latest stored NEM averages for the selected state. You can manually override values.
Calculator output
$0.00 / day
Indicative daily optimisation value
$0 / year
Indicative annual gross savings
$0 / year
Indicative annual net after subscription
0.0 kWh / day
Estimated dispatchable battery energy
We deliberately haircut theoretical savings with a conservative capture rate so the example reflects reserve buffers, missed intervals, price-protection overrides, and real-world dispatch constraints.
See how usage profiles help set conservative numbers →
See how usage profiles help set conservative numbers →
Benefits explained
What the calculator is showing
The value comes from timing: charging when the cost is lower, preserving stored energy, and discharging or exporting when the value is higher.
Peak-value discharge
Evening windows can create higher value when household demand, wholesale-linked prices, or peak feed-in tariffs are stronger.
Protection layer
Reserve buffers and conservative capture assumptions help avoid modelling every theoretical opportunity as real savings.