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Applies to power stations only
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Smaller = smoother but slower (5 km takes ~10 s the first time)
Substation
Power station
Filled with their own MLF (same colours as the surface)
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Draped on the surface. Comet directions come from the selected surface method; comets running downhill (red to blue) follow its MLF gradient.
KDE: Gaussian kernel-weighted average of the MLF points in each region. Small distance = local detail, large = regional trend.
Hills = low MLF (energy sources), valleys = high MLF (sinks). Interpolated from substation and power station MLFs within each region; steps at region borders are expected. Right-click and drag to rotate.

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Red = MLF fell, blue = MLF rose (change = To − From). Only points with an MLF in both years are compared.

Largest changes

Median change by region

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More technology statistics →

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Data available 01 Jan 2014 to 31 Aug 2026.
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Price distribution

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Emissions intensity by year

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Energy by fuel

Generation by fuel

Source: AEMO 30-min dispatch (charging_infra), summarised in arche_db (nem_gen). Rooftop solar from AEMO rooftop PV estimates. Emissions intensity covers scheduled generation (excludes rooftop). Storage charging and pumping are shown below zero and not counted as generation. 'Other' includes biomass and units without a fuel type; 'Unassigned' holds units without a region (mostly aggregated or virtual units).

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Right-click and drag to rotate. White columns are stations charging or pumping (batteries, pumped hydro) or consuming power.
Each hexagon sums the stations inside it. Blue = near 0, red = the day's busiest hexagon (MW) or 100% of installed capacity (% mode).
Day, half hour (with play), MW / % of capacity and technology on the left apply to all three maps.
MW: circle area is proportional to output. % of capacity: the outline is the station's capacity and the filled part its output. A white ring means the station is charging or consuming. Units without a station on the map are counted in the totals.

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30-min: up to 31 days (read live from the source).
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Click a station on the map, or pick it from the list on the left.

Units

Units are linked to stations by DUID (exact, or prefix such as VBB -> VBB1). Corrections can be added to nem_gen.duid_station with method 'manual'.

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Price distribution

Summary ($/MWh)

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Prices by year (focus region)

Violins from a sample of up to 2,000 half-hours per year; white markers show the median.

Hour of day

Negative prices by year

Hour of day by season (focus region)

Is the price trending?

Source: AEMO 30-min regional reference prices (5-min prices averaged), summarised in arche_db (nem_gen). Distributions and percentiles use every half-hour in the selection; violins use a reproducible random sample.

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Yearly charts use the years in this range; daily profiles use the exact dates.
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Capacity factor by technology

Capacity factor summary

Median capacity factor by year

Capacity factor tests

Average output by half hour

Focus technology by season

Storage by half hour

Storage energy by year

Storage prices: paid when charging vs earned when discharging

What storage earns

Capture price vs average price

Capture ratio (capture price ÷ average price)

Solar cannibalisation

Sources: AEMO 30-min dispatch and prices (nem_gen summaries; pumped hydro units from the 30-min dispatch source). Capacities from the power stations map layer. Yearly figures cover the full history and are filtered by region and year; hollow points are partial years.

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MLF by region

Distribution per region

Do regions differ?

MLF summary

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MLF by technology (power stations)

Does technology matter within a region?

MLF vs station size

Station size

Year-on-year change

Are MLFs rising or falling?

Biggest movers

The NEM MLF → MLF Change tab maps every change.

MLF vs nearby wind and solar

Source: AEMO marginal loss factors (annual), on the power stations and substations map layers. Regions from TNI codes (ACT counts as NSW). Reference nodes: Sydney West, South Pine, Thomastown, Torrens Island, George Town (approximate locations).

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Dates apply to the patterns, model and prices; yearly charts use the full history.

Half-hour intensity by region

Intensity by year

Intensity summary

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Hour of day

Is intensity falling?

Hour of day by season (focus region)

What lowers intensity?

Why did emissions change?

By region and fuel (Mt CO2)

Are cleaner half-hours cheaper?

Correlation by year (full history)

Emissions-weighted vs time-weighted price

Emissions-weighted price = average price when the emitting happens (half-hour prices weighted by emissions).
Source: AEMO 30-min dispatch emissions (CDEII-based unit factors) and prices, summarised in arche_db (nem_gen). Intensity = emissions / generation. Rooftop solar has no emissions and AEMO estimates it separately; it starts mid-2016, so earlier years are the same on both bases.