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, Madrid, Spain
Project cooperation
Looking for consortiums related to Energy Storage Systems
- R&D Partner
- Demonstrator
- Technology Partner
Canan Korkmaz
R&D Manager
Ankara, Türkiye
Project cooperation
Energy communities as the foundation of a society based on renewable energy
- Other
- R&D Partner
- Demonstrator
- Technology Partner
- Validator/Living lab
Catherine Adelmann
Researcher Smart Grids at Technische Hochschule Ulm
Germany