Computed metrics

Computed metrics are derived from raw AEMO data. They combine dispatched energy, prices, and capacity to produce analysis-ready values.

Metric reference

MetricDescriptionFormula / logicUnitUsed in
actual_cfActual capacity factor — ratio of actual energy output to theoretical maximum.Dispatched_MWh / (registered_capacity × interval_hours)ratio (0–1)Map, Benchmarking, Charts
target_cfTarget capacity factor — ratio of available/dispatched capacity to registered capacity.Derived from dispatch and availability dataratio (0–1)Map, Benchmarking, Charts
avail_cfAvailability capacity factor — reflects how much capacity was available vs used.Derived from availability and dispatchratio (0–1)Performance Map
curtail_technical_revenue_lossEstimated revenue lost due to technical curtailment.Curtail_Technical_MWh × RegionRRP (or LocalRRP)$Explorer, Charts
curtail_economic_revenue_lossEstimated revenue lost due to economic curtailment.Curtail_Economic_MWh × RegionRRP (or LocalRRP)$Explorer, Charts
levelised_revenueRevenue per unit of energy (e.g., $/MWh).Revenue / Dispatched_MWh$/MWhPerformance Map
fcas_reg_revenueTotal FCAS regulation revenue (Raise Reg + Lower Reg).RAISEREG_Revenue + LOWERREG_Revenue$Map, FCAS charts
fcas_contingency_revenueTotal FCAS contingency revenue (1 sec, 6 sec, 60 sec, 5 min services).Sum of RAISE1SEC, RAISE6SEC, RAISE60SEC, RAISE5MIN, LOWER1SEC, etc.$Map, FCAS charts
fcas_total_revenueTotal FCAS revenue across all services.fcas_reg_revenue + fcas_contingency_revenue$Map, Benchmarking

Related

For raw AEMO variables, see AEMO variables. For facility and unit metadata, see Facility metadata.