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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:

  1. 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.

  2. 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