ServiceUpdated on 26 September 2024
Big Data and AI for the optimization of the energy production-storage-consumption based on multiple criteria
About
Based on the use of Big Data and AI solutions, different algorithms and models have been developed for balancing properly the energy production, storage and consumption flows considering multiple criteria as energy price, the renewable generation and consumption, energy surplus (and corresponding compensation), the battery load or the electric vehicle charge, ensuring always a rational use of the energy.
Type
- Technology Partner
- R&D Partner
Organisation
Similar opportunities
Project cooperation
- CM2024-05: Hydrogen & renewable fuels
- CM2024-09: Integrated industrial energy systems
- CM2024-10: Clean energy integration in the built environment
- CM2024-03A/03B: Advanced renewable energy (RE) technologies for power production
- CM2024-02: Energy system flexibility: renewables production, storage and system integration
Roberto Morán Ramallal
R&D Director at Galeo Tech
Madrid, Madrid, Spain
Service
Digital twin of a building and its energetic assets
- R&D Partner
- Technology Partner
Dimitri Arendt
Founder at ANTwork
Liège, Belgium
Project cooperation
CM2024-02: Industrial energy system flexibility to balance the power grid
- R&D Partner
- Demonstrator
- Technology Partner
- CM2024-02: Energy system flexibility: renewables production, storage and system integration
Marcus Vendt
Senior researcher at RISE Research Institutes of Sweden
Sweden