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.
Number of solar + wind assets forecasted
Onboarding / deployment speed stat
Curtailment reduction or generation optimization stat
Assets forecasted across [X] countries





