Project cooperationUpdated on 28 January 2026
Renewable energy estimation and AI forecasting using IoT and satellite
Projects and Partnerships Manager at Reuniwatt
Saint-Denis, Reunion
About
Reuniwatt aims to implement the Green Deal, the Fit for 55 package and other climate mitigation objectives by improving its two main technologies:
-
Geostationary satellite images are processed using a proprietary method called SunSat™ to retrieve cloud cover and solar irradiance at the ground level at a kilometric resolution. Very handy for site monitoring, the data is available worldwide over the past, the present, and even the future.
-
Its specifically-developed sky imagers, including Sky InSight™ for 24/7 all-sky observation, enable to monitor the cloud cover with an unprecedented accuracy, and can be used to precisely forecast the solar plants’ production within the next few minutes with InstaCast™ method.
Topic
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-09: Advanced Local Digital Twins using AI for Early Warning and Preparedness
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-02: Next-Generation AI Agents for Real-World Applications in the Apply AI sectors
Type
- Partner seeks consortium
Similar opportunities
Project cooperation
Interest in projects requiring data collection and processing solutions
- Partner seeks consortium
- HORIZON-CL4-2026-04-DATA-06: Efficient and compliant access to and use of data
- HORIZON-CL4-2026-02-DIGITAL-EMERGING-53: Innovative AI methods and technologies for the process industries
- HORIZON-CL4-2026-02-DIGITA-EMERGING-51: AI improved advanced manufacturing and production processes in factories
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-09: Advanced Local Digital Twins using AI for Early Warning and Preparedness
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-02: Next-Generation AI Agents for Real-World Applications in the Apply AI sectors
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-08: Apply AI: Robotics for Manufacturing: Advancing Core Skills through Technical Challenges
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-03: Apply AI: Next-Generation Agile and Intelligent Robotics Platforms for Industrial and Service Applications
Mikko Myllymäki
Research Coordinator at University of Jyväskylä (Kokkola University Consortium Chydenius)
Kokkola, Finland
Project cooperation
Local Digital Twins for Early Warning and Preparedness (RL + LLM Orchestration)
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-09: Advanced Local Digital Twins using AI for Early Warning and Preparedness
Marcello Sano
Senior Researcher at Ca'Foscari University of Venice
Venice, Italy
Project cooperation
Real-Time Consumer Energy Data for Behavioral Change
- Partner seeks consortium
- HORIZON-CL4-2026-04-DATA-06: Efficient and compliant access to and use of data
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-02: Next-Generation AI Agents for Real-World Applications in the Apply AI sectors
Gonçalo Sampaio
Project Manager at Semitrónica Lda.
Vila Nova de Famalicão, Portugal