Project cooperationUpdated 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.
Organisation
Similar opportunities
Service
- R&D Partner
- Technology Partner
Roberto Morán Ramallal
R&D Director at Galeo Tech
Madrid, Spain
Project cooperation
ALMACENAMIENTO Y GESTION DE ENERGIA
- Investor
- Consultant
- R&D Partner
- Demonstrator
- Technology Partner
- Validator/Living lab
- Call Module 2026-05: Hydrogen and renewable fuel
- Call Module 2026-04: Industrial carbon management
- Call Module 2026-07: Heating and cooling technologies
- Call Module 2026-08: Integrated regional energy systems
- Call Module 2026-09: Integrated industrial energy systems
- Call Module 2026-10: Clean energy integration in the built environment
- Call Module 2026-01: Integrated energy system resilience in a changing environment
- Call Module 2026-03A/03B: Advanced renewable energy (RE) technologies for power production
- Call Module 2026-06: Stationary battery technologies and systems for climate-neutral industry and built environment
- Call Module 2026-02 Energy system flexibility in a high renewable energy sources (RES) scenario: energy generation, storage and system integration
Cesar Sanchez
Director at ENERGIA JUSTA.
Spain
Service
Charging & Energy Management System
- R&D Partner
- Technology Partner
Ezgi SANLI
Project Specialist at BOZANKAYA TEKNOLOJİ
Ankara, Türkiye