Url https://cimne.com/sgp/rtd/Project.aspx?id=1016
LogoEntFinanc LogoPlan
Acronym COSMIC
Project title Combined AI and Data Solutions for Large Scale Resource Optimization with Green Deal Impact
Reference 101189676
Principal investigator Stoyan Viktorov DANOV - sdanov@cimne.upc.edu
Start date 01/12/2024 End date 30/11/2027
Coordinator US
Consortium members
  • INETUM
  • LUT University
  • CITY OF LAPPEENRANTA VILLMANSTRAND
  • SEEBG
  • CIMNE
  • Adeporto
  • CENAERO
  • OHL, S.A.
  • CBT
  • INESC PORTO
  • ICLEI
  • Cetasol
  • DAIKIN
  • PortBal
  • FBA
  • AVRA
  • T&P
  • PHOTOM
  • GraMercat
  • FID I&D, S.A.
Program HE (2021-2027) Call HORIZON-CL4-2024-DIGITAL-EMERGING-01-04
Subprogram 4.Digital,Industry&Space Category Europeo
Funding body(ies) EC Grant 415.250,00 €
Abstract With the objectives of the Green Deal in mind, COSMIC aims to provide IT systems that address large-scale energy resource optimization challenges by leveraging AI and data solutions. It will foster collaboration between small and large companies to create industrial ecosystems, focused on key applications with the potential for substantial and escalable impact. COSMIC´s ecosystems are composed by 1) large-industries - facilitating big datasets and large-scale pilots, 2) core technical partners - providing transversal-to-sector technical solutions, 3) SMEs and start-ups – bringing specific data/AI based assets through open calls.The project will offer a set of data/AI based platforms, solutions and modules as transversal core infrastructures able to accommodate external IT assets. Third Parties, mainly SMEs and start-ups, will bring these assets in the form of data/AI based services and solutions, that are specific-to an energy resources optimization key applications. The integration of these core and application-oriented technologies will result in a set of Integrated AI Systems (IAIS) for Key Energy Resource Optimization Applications capable to scale-up to cover more key applications. COSMIC will test these systems in 14 large-scale pilots in 5 countries: Spain, Belgium, Portugal, France and Finland, and at European level, together with the validation of end-user and final beneficiaries' acceptance of social-science methods. To foster replicability, a package will be offer including the lessons learned and recommendations for future adoption, including suggestions for feasible win-win industrial partnerships, and guidance on ecosystems sustainability. These ambitious objectives will be realized by a consortium of experienced and highly complementary partners from both research institutions, industrial partners, public authorities and NGOs from eight European countries.
This Project has received funding from the European Union's Horizon Europe research and innovation programme under Grant Agreement Nº101189676