Key takeaway: The NEM fundamentals model produces 5-minute granularity price forecasts across a transmission network of over 200 nodes to 2054, capturing the supply-demand dynamics and bidding behaviour that drive wholesale electricity prices.
Here we go into details on our NEM Fundamentals Model. We utilise the same overall framework that powers all of Modo Energy's forecasts. For details of this Core Model, click here.
Our NEM forecast is a 5-minute granularity, nodal model that produces outputs to 2054. The forecast models demand, generation, constraints and ultimately prices at a 5-minute settlement period level, which in turn are used as inputs to our battery dispatch model.
The model runs off assumptions of demand, generation capacities, storage capacities, bidding behaviour, transmission capacities, and outages. Our fundamentals model is validated against historical prices to ensure it accurately reflects price-setting behaviour. We specifically focus on modelling volatility as a core part of our model, as those periods are especially important to storage revenues. We do this by modelling at 5-minute granularity and by accounting for all types of bids from generators:
- Bids close to the price floor to force the unit to stay online
- Bids close to the short-run marginal cost of the unit
- Bids close to the price cap in order to maximise unit or portfolio revenue
Nodal network modelling
To reflect the true locational dynamics of the NEM, we model a transmission network of over 200 nodes, spanning the five NEM regions: Queensland, New South Wales, Victoria, South Australia, and Tasmania. Each node represents an individual substation, connected to its neighbours by transmission lines with their own thermal ratings and electrical characteristics. This lets us capture congestion on individual transmission corridors, rather than approximating it at a broader regional level, giving us nodal prices at every point in the network which can be used to constrain batteries in our dispatch model based on their specific connection point.
Find out more about how the network is built, and how nodal prices and losses are calculated, in the Network section.
5-minutely pricing
The model runs at 5-minutely granularity to build a full 5-minute time series of energy and FCAS prices through to the end of the model. Modelling at 5-minute granularity is critical to capturing some of the main drivers of price volatility within the NEM, as well as maximising the value that battery energy storage can capture from this.
What are the core inputs?
The model uses a range of inputs, primarily Modo Energy’s independently developed market outlook. This is informed by other sources, including data from NEMWEB and AEMO’s Integrated System Plan (ISP). We update to use the latest ISP data whenever new draft or final versions become available. This outlook is grounded in rigorous market research and informed by deep industry expertise, providing a nuanced view of the future electricity market and capacity landscape. Find out more information by heading to the sub-page for each section.
| Category | Key input sources |
|---|---|
| Demand | AEMO 2026 ISP / Forecasting Assumptions Update (FAU), AEMO 2025 Electricity Statement of Opportunities (ESOO), Modo Energy data centre demand forecast, AEMO MMS, NEMWEB |
| Generation | AEMO 2026 ISP / Forecasting Assumptions Update (FAU), AEMO Generation Information, AEMO MMS |
| Transmission | Geoscience Australia transmission network topology, AEMO 2026 ISP (network augmentations and Renewable Energy Zone mapping) |
| Commodity prices | AEMO 2026 ISP, AEMO Daily STTM reports, AEMO DWGM Victorian Wholesale Price, ASX Gas, Coal and LGC Futures |
| Renewable load factors | AEMO REZ generation traces, AEMO MMS |
| Marginal loss factors | AEMO Marginal Loss Factors, Modo Energy nodal MLF forecast |
| Community energy resources | Modo Energy household BESS forecast, AEMO 2026 ISP (coordination ratio), Clean Energy Regulator, NEMWEB |
| Capex and opex | AEMO 2026 FAU / CSIRO GenCost 2025-26 (generation), Modo Energy Feb-2026 cost curve (BESS) |
Demand
Electricity demand forecasting and assumptions
Generation and Storage
Supply stack modelling and the capacity buildout
Network
The nodal transmission network, nodal pricing, and Marginal Loss Factors
Reference Years and Volatility
How the model is seeded and backtested
FCAS
Frequency Control Ancillary Services modelling
Unit Commitment Model
Generator commitment and dispatch optimisation