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Grid Demand Forecasting Software

Industry-leading long-term, mid-term, and short-term load forecasting and net load forecasting by grid and zone. 3x more accurate than ISO, RTO, and TSO forecasts across 25+ global grids.

Woman analyzing forecasting data on a computer

What is grid demand forecasting?

Grid demand forecasting predicts total electricity consumption at the grid and zonal level. Grid forecasting software ranges from short-term load forecasts, used primarily for day-ahead bidding, to mid-term load forecasts for seasonal planning and long-term load forecasts for capacity planning and regulatory filings.

Net load forecasting predicts total consumption minus the contribution served by grid-scale renewable energy sources. Net load or residual demand is increasingly the price driver in renewable-heavy grids, making them essential in markets like CAISO, ERCOT, MISO, SPP, PJM, and many European TSOs.

Amperon's grid forecasting products

Power lines
Grid demand short-term forecast
(Grid STF)
Horizon:
0-14 days
Update frequency:
Hourly
Granularity:
Hourly
Delivery:
UI, API, CSV, Snowflake
Use cases:
Power trading, day-ahead bidding, real-time operations
Amperon’s flagship product, the Grid STF, provides the world’s top trading firms and load-serving entities with industry-leading demand forecasts at the ISO and zonal levels.

Hybrid regression and AI-powered load forecasts are retrained hourly to reflect the latest demand signals and hyper-local weather, providing the most responsive grid demand signal available.

25+

Global grids covered
Power lines and solar panels
Grid net demand short-term forecast
(Grid Net Demand STF)
Horizon:
0-14 days
Update frequency:
Hourly
Delivery:
UI, API, CSV, Snowflake
Use cases:
Power trading, day-ahead bidding, real-time operations
Net demand is increasingly the price driver in renewables-heavy markets. Net demand forecasts are essential in renewables-heavy grids such as CAISO, ERCOT, MISO, SPP, PJM, and European markets.

20+

Global grids covered
Close up of power lines
Grid demand sub-hourly short-term forecast
(Grid Sub-hourly) [Europe only]
Horizon:
0-14 days
Update frequency:
Hourly
Granularity:
Up to every 15 minutes
Delivery:
UI, API, CSV, Snowflake
Use cases:
Day-ahead bidding, real-time operations, intra-day position management
European market participants can inform real-time trading on a sub-hourly basis, typically every 15 to 30 minutes depending on the market. Forecast accuracy can be significantly improved with sub-hourly granularity matching the market’s time increment.

15

Minute granularity available
Close up of power lines
Grid net demand sub-hourly short-term forecast
(Grid Net Demand Sub-hourly) [Europe only]
Horizon:
0-14 days
Update frequency:
Hourly
Granularity:
Up to every 15 minutes
Delivery:
UI, API, CSV, Snowflake
Use cases:
Day-ahead bidding, real-time operations, intra-day position management
European market participants in renewables-heavy markets can inform real-time trading on a sub-hourly basis, helping to optimize intra-day and intra-hour positions based on both forecasted load and expected solar and wind output.

15

Minute granularity available
Power lines
Grid demand mid-term forecast
(Grid MTF)
Horizon:
0-7 months
Update frequency:
Hourly
Granularity:
Hourly
Delivery:
UI, API, CSV
Use cases:
Term trading, seasonal planning
The industry’s first weather-informed Grid Demand Mid-Term Forecast gives traders advance notice of extreme weather and load events, allowing them time to secure positions and hedges before the market reacts.

AI-powered models inherently capture load growth. Probabilistic modeling quantifies the real-world likelihood of extreme scenarios.

+$559/MWh

Opportunities have been identified with the MTF
Power lines
US grid demand long-term forecast
(US Grid LTF)
Horizon:
1-5 years
Update frequency:
Weekly
Granularity:
Hourly
Delivery:
UI, API, CSV
Use cases:
Forward trading, capacity planning
Long-term forecasts inform forward trading, resource adequacy planning, capital allocation decisions, and regulatory submissions. US models are informed by weather simulations, generating 10,000 years of simulated weather scenarios.

10,000

Years of simulated weather scenarios
Power lines against a city scape
European grid demand long-term forecast
(Euro Grid LTF)
Horizon:
1-5 years
Update frequency:
Monthly
Granularity:
Up to every 15 minutes
Delivery:
UI, API, CSV
Use cases:
Forward trading, capacity planning
Long-term forecasts inform forward trading and hedging decisions. Reference climatological modeling with analog years going back to 1975. European models are informed by historical weather.

50+

Analog years available

Which grid forecast do you need?

Features
STF
Sub-hourly STF
Net Demand STF
Net Demand
Sub-hourly
MTF
LTF
Primary users
Traders
Traders
Traders
Traders
Traders, planners
Traders, planners
Key use cases
Day-ahead bidding
Intra-day trading
Day-ahead bidding
Intra-day trading
Term trading, maintenance planning
Forward trading, capacity planning
Horizon
0-14 days
0-14 days
0-14 days
0-14 days
0-7 months
1-5 years
Granularity
Hourly
15 minutes
Hourly
15 minutes
Hourly
Varies
Updates
Hourly
Hourly
Hourly
Hourly
Hourly
Varies

Supported ISOs, RTOs, and TSOs

Amperon’s grid forecasts cover 25+ markets worldwide.

North America
AESO
CAISO
ERCOT
IESO
ISO-NE
MISO
NYISO
PJM
SERC
SPP
WEIM
Europe
Austria
Belgium
Czech Republic
Denmark
France
Germany/Luxembourg
Great Britain
Ireland
Italy
Netherlands
Poland
Portugal
Spain
Switzerland
12 of 15

Top power trading firms in PJM use Amperon

12 of 15

Top power trading firms in MISO use Amperon

9 of 15

Top power trading firms in ERCOT use Amperon

3x

More accurate than ISO forecasts on average

40k

Hyper-local weather points

25+

Global grids covered

1

Hyper-local weather

Amperon pulls from 40,000+ weather points and dynamically blends multiple leading numerical weather prediction (NWP) and AI-powered weather models.

AI-powered modeling

Amperon’s hybrid regression-based and AI-powered modeling translates weather scenarios into load forecasts for multiple time horizons.
2
3

Flexible outputs for any workflow

Analyze power market data in Amperon’s platform, or pull from our API, CSV file export, or for short-term grid forecasts, use our Snowflake integration.

Continuous learning loop

Models self-improve with every new data point, inherently capturing shifting demand patterns and load growth with hourly retraining.
4

Grid demand forecasting FAQs

Here are some answers about our platform, implementation process and pricing.
Grid demand forecasting predicts total electricity consumption at the ISO or zonal level. Meter forecasting predicts consumption at the individual account or premise level. Power traders typically rely on grid forecasts for bidding and hedging. Utilities and retailers use meter and portfolio forecasts for load scheduling, settlement, and cost management. Amperon offers both, and many customers use them together.
Grid demand forecasting predicts how much electricity will be consumed across a given market or zone. Price forecasting predicts what that electricity will cost. Demand is one of the primary drivers of price, so the two are complementary. Traders often use Amperon's grid demand forecasts alongside price forecasts to sharpen their market positions and hedging decisions. 
Amperon's grid demand forecasts are 2-3x more accurate than ISO forecasts on average. Actual results vary by grid, by day, and by forecast horizon. Amperon's models retrain hourly on the latest demand signals and hyper-local weather inputs from 40,000+ weather points, producing a more responsive and continuously improving forecast than the models most ISOs publish. Additionally, Amperon’s short-term forecasts predict demand from bal-day through 14 days out, whereas many ISO forecasts look only 7 days out.
Amperon's grid forecasts span from real-time through five years. The short-term forecast covers 0-14 days for day-ahead bidding and real-time operations. The mid-term forecast covers 0-7 months for term trading and seasonal planning. The long-term forecast covers 1-5 years for forward trading, resource adequacy, and regulatory filings. Each product is purpose-built for its horizon, with modeling assumptions and update frequencies calibrated accordingly. Note that the mid-term forecast is not optimized for short-term trading; it should be paired with a short-term forecast for maximum accuracy in the 0-14 day window.
Net demand forecasting predicts total grid consumption minus the contribution from grid-scale solar and wind, which yields the residual load that dispatchable resources must serve. Renewable asset forecasting predicts the generation output of individual solar or wind assets. Net demand is primarily used by traders and planners managing grid-level supply and risk. Asset forecasting is used by operators and portfolio managers making bidding and scheduling decisions at the asset level. Learn more about Amperon's renewable asset forecasting capabilities on the Solar Forecasting and Wind Forecasting product pages. 
Grid demand forecasts typically go live within a matter of days. Because these forecasts operate at the ISO and zonal level using Amperon's existing global grid models, there is no custom model build required. Customers can access forecasts through the Amperon platform, API, CSV export, or Snowflake integration shortly after onboarding.

Ready to out forecast the market?

See how industry-leading grid forecast accuracy can help you improve margins and reduce risk. See a demo tailored to your markets, your time horizons, and your data.
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