Teaser text

Accurate solar forecasting is essential for managing and increasing adoption rates of grid-connected solar systems. Forecasts for regionally-distributed PV systems and individual solar power plants can be provided based on a proprietary PV system modelling methodology and expertise in combining Numerical Weather Prediction (NWP) and real-time observations with artificial intelligence techniques.

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Competitive advantage

This capability can be provided as an API-based software-as-a-service (SaaS) product, which can:

  • Optimise dispatch and operating reserve requirements for grid operators
  • Meet compliance requirements and reduce risks for solar power plants
  • Make energy-management system (EMS) smarter in micro-grid and storage systems

The product features:

  • Sophisticated data processing with artificial intelligence methods, and
  • Reliable and flexible data delivery through web services.


  • Increased safety and efficiency of grid operation by facilitating grid operators to better optimise dispatch while managing the intermittency and ramp-rate of solar power plants
  • Increased adoption rate of solar by overcoming the challenges from high penetration and reduced reserves
  • Optimised storage management to reduce required battery sizes and increase battery lifetimes

Successful applications

  • The PV system modelling methodology has been used in evaluating and optimising new solar module designs for commercial partners. It has also been integrated into a commercial home battery storage product.

Capabilities and facilities

  • Solar system forecasting
  • Meteorological data processing
  • Artificial intelligence
  • Web service development

Our partners

  • LONGi Green Energy Technology
  • Hebei Sizhuo Photovoltaic Tech
  • DSM Advanced Solar
  • Energy Research Centre of the Netherlands (ECN)