Volatile output
Gusts and lulls swing generation fast, breaking day-ahead plans.
Solutions
Wind Forecasting
Predict turbine output from minutes to days ahead, straight from orbit.
Overview
Satellite-driven wind power forecasts at asset level
BioSky fuses orbital weather observation with deep learning to forecast wind generation across every turbine and farm, so you can bid, schedule and balance with confidence.
The challenge
Wind is hard to predict
Rising penalties
DSM and imbalance charges erode margins on every miss.
Sparse ground data
Met masts are few and far between across large wind sites.
How it works
Three inputs, one forecast
Orbital weather
Wind fields, pressure and cloud from earth-observation satellites.
Turbine models
Power curves and wake effects modelled per asset.
Deep learning
Spatio-temporal networks trained on local generation history.
Key features
What the model does
Forecasts output from 15 minutes to 7 days ahead
Resolves generation at individual turbine level
Re-forecasts in real time on each satellite pass
Quantifies uncertainty with probabilistic ranges
Captures ramp events and extreme weather early
Feeds bids, schedules and control-room signals
Impact
Outcomes you can measure
0%
forecast accuracy achieved
~50%
DSM penalty reduction
0-day
forecast horizon
⚑ Indicative figures, confirm with real benchmarks.
Turn wind into a predictable, bankable resource.
Get in touchPhone
+91 99992 63851Address
R&I Park, IIT Delhi, Hauz Khas, New Delhi 110016