Stop Paying for Missed Wind Ramps
DOTA AI learns from your own turbine, weather and output history, builds and validates a forecast, and publishes day-ahead confidence bands with ramp alerts.
Explainer video in production
The interactive walkthrough for Stop Paying for Missed Wind Ramps is being produced. The full use case is below.
Illustrative data. No real utility names or plant names are used.
Renewable operations, scheduling and trading teams, asset owners
Every megawatt your day-ahead wind forecast misses can come back as imbalance charges, and a better model usually means a data science project.
DOTA AI learns from your own turbine, weather and output history, builds and validates a forecast, and publishes day-ahead confidence bands with ramp alerts.
From a question to a deployed app.
Ask
Build a day-ahead wind forecast from our own history and show how it performs.
Connect
Turbine SCADA from PI, met mast wind speed, weather forecasts and actual output.
Model
DOTA builds and tests the model, and shows the metrics before anyone relies on it.
Operate
Operators get day-ahead bands and early warning before a big ramp.
- Off-the-shelf forecasts miss the big ramps
- Forecast error cut from 11.8% to 7.4% nMAE
- Day-ahead forecast with P10 to P90 confidence bands
- Ramp alert: down 180 MW, 14:00 to 16:00
- Glassbox: every model step is visible
The takeaway
Better forecasts, built on your data.
Keep exploring.
Build stop paying for missed wind ramps on your data.
See DOTA AI build a real utility app on your data in a 30-minute working session.