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Load forecasting

Load Forecasting Software Powered by AI

What is load forecasting?

Electric load forecasting is the process of predicting how much electricity will be consumed across a grid, market, or portfolio over a given time period. Grid operators — ISOs, TSOs, and RTOs — rely on accurate load forecasts to balance supply and demand in real time. Energy traders use them to position ahead of day-ahead auctions and capture intraday volatility.

Retail electricity providers and utilities use them to manage procurement, schedule portfolio bids, and reduce exposure to peak charges. The shift from legacy statistical models to AI-powered approaches has been decisive — machine learning methods now consistently outperform traditional forecasting by a wide margin, and the gap is widening as models ingest more data and retrain more frequently.

9/15

Top trading firms in ERCOT using Amperon

12/15

Top trading firms in PJM using Amperon

24hr+

Lead-time advantage vs. ISO forecasts

How Amperon's AI-powered approach differs from legacy methods

Traditional forecasting relies on static regression models updated infrequently. Amperon uses ensemble ML models trained on real-time demand data, 25+ years of weather history, and proprietary weather blends — retraining hourly to adapt instantly to changing grid conditions.
Learn more about our methodology

Amperon's load forecasting products

grid-forecasting

Grid forecasting

Grid-level demand forecasting across short, mid, and long-term horizons — from intraday trading signals updated hourly to 5-year probabilistic outlooks with 51 scenario outcomes. The demand signal trusted by 9 of the top 15 ERCOT trading firms.
  • Grid demand short term forecast
  • Grid net demand short term forecast
  • Grid demand mid term forecast
  • Grid demand long term forecast
  • Peak alerts
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meter-portfolio

Meter & portfolio demand forecasting

Premise-level meter data powering portfolio-level forecasts for retail electricity providers, utilities, and load-serving entities. Bottom-up accuracy that consistently outperforms ISO-derived portfolio estimates — plus automated day-ahead bid submission directly to the ISO.
  • Meter demand short term forecast
  • Meter demand long term forecast
  • Portfolio demand short term forecast & LTF
  • Portfolio demand scheduling
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coincident-peak

Coincident peak forecasting

Forecast-driven peak alerts across every major ISO peak charge program. Probability-weighted alerts with hours of lead time — so you can curtail before the peak, not after the bill arrives. Bundled with Grid Forecasting.
  • Peak alerts
  • 4CP (ERCOT TCRF)
  • 5CP (PJM NITS/PLC)
  • ISO-NE ICAP
  • ESO global adjustment
  • NYISO ICAP
  • Price short term forecast
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Different roles need different products. Here's how it maps to your workflow.

energy-trades

Energy traders

Intraday and DA signals for position management and DART capture.
Grid demand short term forecast
Price short term forecast
utilities-lses

Utilities & LSEs

Portfolio procurement, bid automation, and peak charge avoidance built from your meter data.
Meter demand
Portfolio demand
Scheduling
Peak alerts
grid-operators

Grid operators & planners

Mid and long-term demand outlook for capacity planning and infrastructure investment.
Grid demand mid term forecast
LTF
risk-procurement

Risk & procurement

Forward hedge calibration, budget forecasting, and scenario modeling across 51 demand trajectories.
Grid demand MTF
LTF
Portfolio demand LTF
integration

Delivery & integration

REST API
Snowflake
File Export
Yes Energy

Get your forecasts however your team works. Amperon delivers via REST API, Snowflake data share, flat file exports, and Yes Energy integration —with 99.9% uptime and enterprise-grade reliability.

View integration documentation

Frequently asked questions

Here are some answers about our platform, implementation process and pricing.
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See the accuracy for yourself

Get a personalized demo with your markets, your use cases, and your time horizons. We'll show you backtest data for your specific ISOs before you commit.