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Forecasting Instability in Solar Grids - SunPower Renewables
Client: SunPower Renewables
Sector: Utility-Scale Solar
Installed Capacity: 1 GW | Revenue: INR 771 Crore
The Challenge
Frequent irradiance fluctuations and cloud transients led to forecasting errors, grid instability, and high DSM penalties.
In FY 2025, SunPower faced INR 46 crore ($5M) in imbalance penalties - projected to rise to INR 90 crore ($10M) from 2026 onwards.
Hybrid and wind integration further amplified forecasting inaccuracy, increasing operational and financial risk.
You didn’t come this far to stop
Global Context
This isn’t a regional problem — it’s a global forecasting crisis.
In the United Kingdom, balancing the national grid already costs over £500 million annually. By 2030, the National Electricity System Operator (NESO) warns this could reach £8 billion per year.
In the United States, the cost of day-ahead solar forecasting errors runs into hundreds of millions of dollars every year.
BioSky addresses this global gap with space-powered precision forecasting built for emerging markets.
Projected Installed capacity by 2030: 500 GW
Expected revenue loss/penalty outflow by 2030: $5B
Potential to save the penalty outflow (50-70%) with better accuracy through BioSky’s product: $2.5B
Hybrid and Wind add to the forecasting inaccuracies
Global Impact Potential
Phone
contact@biosky.tech
+91 9999263851
+91 9967303321
Address
5th floor, Research & Innovation Park (R&I)
IIT Delhi, Hauz Khas, New Delhi - 110016
