Project description

AI-EFFECT brings together 19 European organizations (including operators, academics, and industry players) to accelerate the development, testing, and validation of AI applications in the energy sector. Over a three-year period (2024–2027), four demonstrations in Denmark, the Netherlands, Portugal, and Germany will address multi-energy management, grid congestion, energy efficiency, and the integration of distributed energy resources through a secure digital platform interconnecting laboratories and real-world infrastructures.

The MAIA project is funded by the European Union within the framework of the Horizon Europe research and innovation programme (Grant agreement n°101172952).

Objectives

Develop and validate four real-life demonstrations:

  • Multi-energy management (Denmark)

  • Grid congestion management (Netherlands)

  • Energy efficiency (Portugal)

  • Integration of Distributed Energy Resources (DER) (Germany)

Implemented skills

  • Data science and AI
  • Cybersecurity and secure data sharing

Targeted markets

  • Transmission and distribution system operators

  • Energy service providers and demand-side managers

  • Integrators of multi-energy systems and distributed energy resources (DER)

  • Industries driving the energy transition

 
 
Demander à ChatGPT
Badge Mobility and autonomous transport
IMPROVE
Mobility and autonomous transport
Project Status:État du projet : Launched
Industrial partner(s):Partenaire(s) industriel(s) :
EPRI EUROPE DAC INESC TEC IKIM ltd DNV AS EnliteAI GmbH Watt-IS SA Cooperativa Electrica do Vale d’este crl (CEVE) Bornholms Varme As Enel Grisds S.R.L Centre Danmark Drift APS Tennet TSO bv
Academic Partner(s)Partenaire(s) académique(s)
DANMARKS TEKNISKE UNIVERSITET (DTU) TECHNISCHE UNIVERSITEIT DELFT (NL) Rheinisch-westfälische technische hochschule aachen (univ RWTH DE) NATIONAL UNIVERSITY OF IRELAND MAYNOOTH ( NUIM IE ) Hertie School Fraunhofer Gesellschaft
Project Manager(s)Chef(s) de projet
Reda Yaich
reda.yaich[at]irt-systemx.fr

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