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
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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

solar energy electricty power sector
solar energy electricty power sector