Indicative Battery Revenue Proxy / MW-Year
$48,619
Battery profile
100 MW · 2 h · 88% eff.
Score window
NSW1 · mid_merchant · 30d · as of 2026-03-11
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Units differ by metric. Normalized, weight, and contribution are unitless score terms.
Indicative Battery Revenue Proxy / MW-Year
$48,619
Opportunity Score
-0.373
Confidence
100%
694.4h / 720h observed
Local-price mapping 99.4% · Unmapped rows 2320.
Energy Arbitrage
Combines spread capture and negative-price effects. It summarizes how supportive the market is for charge-low and discharge-high behavior.10.060
$/MWh proxy
FCAS
Represents the FCAS-related contribution in the score mix. Higher values suggest stronger ancillary-service opportunity.0.122
$/MWh
Constraints
Combines congestion and constraint-impact signals. Higher values indicate network conditions are creating stronger regional price differences.32.258
$/MWh proxy
Renewables
Tracks renewable oversupply influence. Higher values often align with periods that can support lower charging prices.0.001
ratio (renewables/demand)
Penalties
Risk deductions applied for coverage or data-quality issues. Larger penalties reduce the final opportunity score.-0.000
score deduction (points)
raw value 0.137 $/MWh proxy · normalized -0.68 · weight 0.120 · contribution -0.081
raw value 9.923 $/MWh · normalized -0.33 · weight 0.200 · contribution -0.066
raw value 0.002 ratio · normalized 0.37 · weight 0.150 · contribution 0.056
raw value 39.734 $/MWh (std dev) · normalized -0.30 · weight 0.080 · contribution -0.024
raw value 32.258 $/MWh proxy · normalized -1.15 · weight 0.120 · contribution -0.138
raw value 0.000 $/MWh proxy · normalized 0.00 · weight 0.130 · contribution 0.000
raw value 0.122 $/MWh · normalized -0.50 · weight 0.100 · contribution -0.050
raw value 0.001 ratio (renewables/demand) · normalized -0.69 · weight 0.100 · contribution -0.069
5-minute dispatch RRP (Regional Reference Price) in AUD/MWh over the 30d window. Spikes above $300/MWh signal tight supply — prime windows for battery discharge at a premium. Negative prices occur when excess solar or wind floods the grid, creating cheap charging opportunities.
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