Wematics

Hyperlocal weather intelligence for renewable energy systems

How can renewable energy systems be operated more reliably and predictably – despite highly variable weather conditions? The innovation project with the startup Wematics addresses precisely this challenge: Through hyperlocal weather and radiation intelligence based on AI-supported sky cameras and multi-source data, Wematics creates new decision-making foundations for the efficient operation of photovoltaic systems.

Wematics is developing a novel platform for high-resolution solar nowcasting and weather information by combining visual sky data (cloud cover, irradiance) with AI algorithms/edge computing and external weather and satellite data. This results in precise short-term forecasts (minutes to hours) that significantly exceed the capabilities of traditional weather models.

In the project context, these skills are transferred to energy and grid-related use cases – especially for PV operation, flexibility management, forecast accuracy, grid stability and energy trading.

What you should know

The innovation

The solution impresses with the following 3 core elements:

      • Hyperlocal weather and radiation intelligence: AI-based sky imaging systems provide location-accurate, real-time information on cloud cover, radiation, and cloud movement – ​​significantly more granular than conventional weather data.
      • Edge AI instead of black box weather model: The evaluation takes place directly at the sensor (edge ​​computing) and is supplemented by multi-source data (ground sensors, radar, satellite) – for robust, explainable forecasts with low latency.
      • Digital “Sky Twins” for the energy system: Volumetric cloud and irradiance models create digital images of the sky as operational decision logic for PV optimization, grid management and forecasting models.

Wematics

Advantages
of innovation

  • Greater predictability through renewable energy generation: Energy suppliers, grid operators and plant operators benefit from significantly improved short-term forecasts for PV feed-in.

  • Reduced system costs and risks: Improved forecast quality reduces balancing energy requirements and enables more efficient use of existing infrastructure with increasing shares of volatile generation.

  • Scalable solution for energy and urban infrastructures: The technology is modular, scalable and internationally applicable – from individual PV sites to regional or urban energy systems (smart cities, critical infrastructures).

We'll keep you up to date

Project status: "Ongoing"

Contact person: Mathias Schaffer

We shape the future

Support from Next-Incubator

The Next Incubator of Energie Steiermark AG supports Wematics as an innovation and implementation partner. The focus is on:

– the validation of the relevant use cases

– as well as the transfer of the technology into scalable applications within the group.

The Next Incubator ensures that the solution is not only technologically innovative, but also economically viable, system-serving and scalable in the long term – thus making a concrete contribution to the integration of renewable energies into a stable energy system.