Meter & portfolio demand forecasting software

Premise-level meter data powering portfolio-level forecasts — purpose-built for retail electricity providers, utilities, and load-serving entities who need accuracy their ISO can't deliver.

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What is meter-level and portfolio demand forecasting?

Meter-level demand forecasting predicts electricity consumption at the individual premise — a single commercial building, industrial facility, or residential account. Portfolio demand forecasting aggregates those meter-level predictions into a portfolio-level view that matches how retail electricity providers, utilities, and load-serving entities actually manage their load obligations.

The distinction from grid-level forecasting matters: ISO forecasts predict total market demand, not your specific book of business. Portfolio-specific models built on your actual meter data consistently outperform public ISO signals for procurement, scheduling, and position management — because they're modeling your customers, not everyone else's.

Amperon's meter & portfolio forecasting products

Meter demand short term & long term forecast

Horizon:

Short-term + long-term

Scenarios:

Zero growth + Demand growth

Delivery:

API, Snowflake, file

Use cases:

Retail load management, utility demand planning, growth planning

Premise-level forecasting for individual meters. Each meter gets its own model trained on its specific consumption history and local weather. Short-term for daily operations, long-term with scenario modeling for budgeting and planning. The building block that portfolio forecasts aggregate from.

X

M meters under management

Portfolio demand short term & long term forecast

Horizon:

Short-term + long-term

Updates:

xxx

Delivery:

API, Snowflake, file

Use cases:

Net open position visibility, fixed/variable load split, portfolio procurement

Aggregate portfolio forecasts built from underlying meter-level data. Breaks portfolios into fixed and variable load components, surfaces net open position in real time, and delivers short- and long-term outlooks with tighter accuracy than top-down ISO models.

X%

More accurate than ISO-derived portfolio estimates

Portfolio demand scheduling

Horizon:

Day-ahead

Updates:

Daily

Delivery:

Direct ISO integration

Use cases:

Day-ahead bid submission, ISO schedule automation, irregular data alerts

Mid-term demand outlook for the planning horizon between short-term trading and long-term capacity decisions. Used by traders for seasonal position management, by utilities for procurement budgeting, and by risk teams for forward hedge calibration. Bridges the gap that most forecasting vendors leave uncovered between their short-term and mid-term forecast products.

X%

Reduction in scheduling errors

Portfolio forecast accuracy vs. ISO stat

Number of meters / portfolios under management

$XM

Procurement savings or bid accuracy improvement stat

How it works

View integration documentation

Data ingestion

Public ISO demand data combined with 25+ years of historical weather data and real-time weather feeds. Multiple weather model sources blended for optimal accuracy.

ML Modeling

Ensemble machine learning models retrained and updated hourly as new demand and weather data arrives. Each ISO has dedicated model architectures tuned to that market's characteristics.

Output delivery

Short-term and long-term portfolio forecasts delivered via API or Snowflake. Automated day-ahead scheduling pushed directly to the ISO. Threshold alerts flag data anomalies before they impact bids.

Continuous learning loop

Models self-improve with every new data point. Accuracy compounds over time as the training dataset grows and the model adapts to shifting demand patterns, EV adoption, and electrification trends.