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Renewable Asset Forecasting

Renewable Energy Forecasting Software for Solar & Wind Assets

What is renewable energy forecasting?

Renewable energy forecasting predicts how much electricity solar and wind assets will generate over a given time period. Unlike grid-level demand forecasting, which predicts total consumption across an entire market, asset forecasting models individual generation sites using irradiance data, cloud cover, satellite imagery, wind speed, wind direction, turbulence, and asset-specific parameters — panel tilt and azimuth for solar, hub height and power curves for wind.

Sub-hourly and short-term precision matters most. A 5% error in a day-ahead generation forecast translates directly into a 5% error in your bid — and in competitive wholesale markets, that's the difference between capturing revenue and leaving it on the table. Real-time curtailment management demands even tighter precision, because the dispatch decision is happening now, not tomorrow.

X

Number of solar + wind assets forecasted

X

Onboarding / deployment speed stat

X%

Curtailment reduction or generation optimization stat

Features
Legacy Asset Forecasts
Amperon
Weather input
Single weather model
Multi-source weather blend
Model calibration
Model calibration
Model calibration
Weather input
Single weather model
Multi-source weather blend
Model calibration
Model calibration
Model calibration
Weather input
Single weather model
Multi-source weather blend
Model calibration
Model calibration
Model calibration

How Amperon compares to legacy asset forecasts

Most renewable forecasting vendors rely on single weather models and generic power conversion curves. Amperon's approach is structurally different.

Forecast any asset, anywhere

Our models are trained on your site's data and local weather — not on ISO infrastructure. If you have coordinates and generation history, we can forecast it.
X

Assets forecasted across [X] countries

Amperon's renewable asset forecasting products

solar

Solar forecasting

Asset-level solar generation forecasts from short-term day-ahead to sub-hourly real-time. Each model is trained on your specific site's irradiance history, panel configuration (tilt, azimuth, capacity), inverter specs, and local weather patterns. Sub-hourly precision for real-time dispatch and curtailment management — not just a day-ahead number.
  • Asset solar short term forecast
  • Asset solar sub-hourly
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wind

Wind forecasting

Asset-level wind generation forecasts with sub-hourly precision. Models trained on your turbine's power curve, hub height, terrain exposure, and site-specific wind patterns — including directional variability and turbulence that regional weather models miss. The challenge with wind is its inherent volatility compared to solar — sub-hourly resolution isn't a nice-to-have, it's the minimum for credible dispatch forecasting.
  • Asset wind short term forecast
  • Asset wind sub-hourly
Explore

Different roles need different products. Here's how it maps to your workflow.

utilities-lses

Asset operators & IPPs

Generation scheduling, curtailment management, and portfolio reporting for your solar and wind fleet.
Solar STF
Wind STF
Sub-hourly
energy-trades

Energy traders

Site-level generation signals for intra-day participation and renewable basis risk.
Solar STF
Wind STF
grid-operators

Utilities & planners

Renewable generation outlook for resource adequacy and net demand integration.
Asset STF
Grid net demand STF
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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Get more from every megawatt

See how asset-level forecasting can reduce curtailment, tighten bids, and increase revenue from your solar and wind portfolio — with a demo built around your actual assets and markets.