Ask questions about the Australian energy market and get real-time answers powered by live AEMO data. Watt analyses prices, generation, carbon intensity, constraints, and more across all NEM and WEM regions using 40 specialist tools.
Watt uses two purpose-built AI models in sequence: a fast routing model that identifies which of the 40 specialist tools to call, and a deep synthesis model that reads the results and writes the final response. This is why Watt answers quickly on simple questions but still produces thorough analysis when the question demands it.
Real-time and historical wholesale prices across all NEM and WEM regions. Spot prices, 5-minute dispatch, and daily aggregates.
Live generation mix by fuel type, grid carbon intensity (tCO2/MWh), and Scope 2 emissions calculations with dual-method support.
Optimal load-shifting windows based on price forecasts. Demand response revenue modelling against the $300/MWh WDRM threshold.
Interconnector flows, binding constraints, and weather-adjusted constraint probability forecasting across all NEM regions.
Detailed generator profiles with bid history, marginal loss factors, and significant rebid detection across 277 NEM and WEM power stations.
PPA backtesting with settlement profiles and seasonal breakdown. Contract position tracking and forward price modelling.
Price Fragility Score — a 0–100 index derived from P5MIN sensitivities that signals when spot prices are susceptible to a sudden move. Forward Price Curve provides seasonal forward price estimates based on trailing same-season history and trend.
Weekly ACCU spot and SMC clearing-house prices from the CER. NGER baselines and safeguard obligations for facilities covered by Australia's Safeguard Mechanism, updated from CER publications.
Intra-regional settlement residue spreads from AEMO SRA auction results — relevant to basis risk management and financial transmission rights. Generator Performance Index provides reliability and output consistency scores for individual generators.
11 examples across 3 personas. Every answer traces back to live AEMO or CER data, not a trained response.
> Calculate our Scope 2 emissions for NSW for FY2023-24 — I have half-hourly consumption data.
Watt runs the dual-method calculation (location-based using the DCCEEW 2023-24 NSW factor, market-based time-matched against NEM dispatch-level carbon intensity), stamps the factor version into the result, and returns both figures plus the saving from time-matching. Every calculation is audit-defensible.
> Which hour of the day has the lowest grid carbon intensity in Victoria right now?
Watt pulls the latest 24h of carbon intensity for VIC1 (currently 0.71 tCO₂/MWh average), identifies the minimum 30-min interval (0.52 tCO₂/MWh around 12:30 local — high solar contribution), and explains what’s driving the dip.
> Show me the LGC and STC clearing prices for the most recent auction.
Watt returns the latest CER weekly clearing-house prices (LGC and STC), flags any material week-on-week moves, and notes how this affects the additive LGC premium in a CACE calculation.
> Find optimal load-shifting windows for 10 MW in Queensland over the next 24 hours.
Using AEMO pre-dispatch forecasts, Watt identifies the cheapest consecutive hours for a 10 MW load profile and estimates the cost saving versus flat-rate consumption. Returns a 24h window with $/MWh per hour and a recommended shift strategy.
> What are current wholesale prices across all regions?
Watt pulls live 5-minute dispatch prices for NSW, VIC, SA, QLD, TAS, and WEM, summarises the current market state, and flags spikes (>$300/MWh), negative-price events, or any CPT-approaching regions.
> How much DR revenue could a 5 MW site in South Australia have earned from the last 30 days of price events?
Watt backtests the $300/MWh WDRM threshold against actual SA1 dispatch prices, counts qualifying intervals, and returns a revenue estimate (e.g. "$47,200 across 18 qualifying intervals, avg duration 2.3 hours, peak $14,500/MWh").
> Are there any active binding constraints affecting NSW imports right now?
→ Professional planWatt checks the dispatch_constraints feed for active NSW interconnector constraints, flags any binding limits (marginal values > 0), and explains the likely price impact.
> What happened with Callide B this month?
→ Professional planWatt searches nem_events, generator bid history, and market_notices for the CPP_3 and CPP_4 DUIDs — returns outage events, significant rebids (>500 MW capacity changes, surfaced via get_generator_profile), and any AEMO notices. Aggregates the impact on QLD prices.
> Backtest a 20 MW solar PPA in NSW at a $65/MWh strike over the last 12 months.
→ Enterprise planWatt runs the PPA evaluator against NSW1 dispatch prices with the typical NSW solar settlement profile, returns location-based revenue, $/MWh captured price, cannibalisation delta, and a seasonal breakdown. Compares to the $65 strike for net position.
> How close is South Australia to the administered price cap right now?
Watt queries the v_cumulative_price_7d matview for SA1, returns the 7-day cumulative price as a % of the FY2025-26 threshold ($1,823,600 for the NEM), and indicates whether APC is ACTIVE, APPROACHING, or NORMAL.
> What are the MLFs for the Bayswater power station DUIDs for this FY?
Watt returns the current FY marginal loss factors for BW01/02/03/04 from the AEMO MLF dataset, with trend against the prior FY, and notes any large step-changes.