Get in Touch
Solar Identification icon-light 02

Rooftop Solar PV Insights

Industry-leading solutions to help you:

  • Accurately quantify regional generation capacity
  • Forecast aggregate generation at fleet-level or region-level
  • Identify faulty systems and avoid site visits
  • Optimise and evaluate VPP performance
 
Get in Touch
Illustration of identifying solar panels within a region

Fast Growth of Rooftop Solar PV

Solstice AI uses artificial intelligence and data science to forecast solar PV to manage energy distribution within a region

Rooftop Solar is now the largest and fastest-growing “generator” in many regions of the world, yet much of its capacity is invisible to system operators.  

As virtual power plants aggregate households into flexible fleets, understanding true generation potential and coordinating distributed storage are becoming essential.

Geospatial Awareness

Solstice AI identifies solar panels to predict PV generation

Working with our aerial imagery partners, we identify the total solar generation capacity over extended regions.  This provides a more accurate understanding of how much rooftop solar PV is installed than any databases driven by manual entry, which is error-prone.  We can identify capacity and forecast solar generation for a postcode, for a particular network region, or even for a larger market region.

System Diagnostics and Performance

Our unique approach to solar modelling combines weather and satellite sources with a data-driven approach.  We can accurately identify each individual solar PV system’s daily performance curve.  This enables alerts when a system is underperforming, and helps to accurately quantify the impact of solar curtailment.

Get in touch

We’d love to hear from you