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Project cooperationUpdated on 26 September 2024

Big Data and AI for the optimization of the energy production-storage-consumption based on multiple criteria

Roberto Morán Ramallal

R&D Director at Galeo Tech

Madrid, Madrid, Spain

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.

Topic

  • CM2024-02: Energy system flexibility: renewables production, storage and system integration
  • CM2024-03A/03B: Advanced renewable energy (RE) technologies for power production
  • CM2024-05: Hydrogen & renewable fuels
  • CM2024-09: Integrated industrial energy systems
  • CM2024-10: Clean energy integration in the built environment

Organisation

Galeo Tech

Company (SME)

Spain

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    Roberto Morán Ramallal

    R&D Director at Galeo Tech

    Madrid, Madrid, Spain