ICEWAPP launches on-site testing: Advancing AI-Powered Weather and Energy Forecasting with FLUIDOS

We are excited to share progress from one of the winners of FLUIDOS’ 2nd Open Call — the ICEWAPP project (Integrated Cloud-Edge System for Energy and Weather AI-based Power Prediction). Spearheaded by IASOL, alongside partners nablaDot and Electroingenium, the project has officially entered its on-site implementation phase in a photovoltaic park.

The ICEWAPP team has successfully installed the necessary hardware — including sky-facing cameras, weather sensors, and local connections — to begin collecting real-time data such as wind, temperature, sky imagery, and solar energy output. This data will be processed using FLUIDOS’ cutting-edge distributed computing architecture, allowing tasks to be intelligently allocated between edge and cloud environments.

The ultimate goal of ICEWAPP is to develop a highly accurate nowcasting solution — capable of short-term energy production forecasting for solar parks. The system leverages real-time sensor inputs, meteorological models, and AI to enhance prediction accuracy, reduce latency, improve scalability, and boost cybersecurity — all thanks to FLUIDOS’ robust framework.

ICEWAPP brings significant innovation to solar energy forecasting by enabling faster, smarter, and more secure energy predictions. It also demonstrates the versatility of FLUIDOS in addressing real-world industrial needs, particularly in the renewable energy sector.

Stay tuned — as the data flows in and the models evolve, the first predictive results will be released soon!

Read more about ICEWAPP and other Open Call 2 winners.
Explore our demo videos on YouTube.