Data sharing to support the training and development of AI foundation models in the energy sector[E8]
UnknownEuropean Commission[E1]
- Fecha[E2]
- Prazo do financiador: 1 de dez. de 2026, 01:00 Horário da Europa Central (UTC+1). UTC: 1 de dez. de 2026, 00:00 UTC.
- Financiamento total[E9]
- EUR 40.000.000
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- Quem pode se inscrever
- EU grant rules apply: check the call conditions for who can apply, consortium rules and co-funding.
- Fase: Prototype and MVP
- Edital e inscrição
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Riscos e incertezas
- RiscoThis is a grant, not a contract. Grants usually need a proposal against the funder's criteria, may need partners and often need co-funding.[E5]
- DesconhecidoWe read the funder's listing, not the full guidance or application forms.
- Abre[E6]
- 4 de ago. de 2026
- Última conferência
- há 3 horas
Sobre o financiamento · Do aviso
Call: ENERGY. Type of action: HORIZON Innovation Actions. Expected Outcome: Projects are expected to contribute to all the following expected outcomes: Effective and innovative methods for gathering, sharing and using large data sets in energy applications for the purpose of training AI models while ensuring privacy and security. Advanced and - wherever possible - open-source AI foundation models to support the digitalisation of the energy system, through improved grid observability, forecasting of supply and demand, advanced storage and renewables integration, demand side flexibility and energy efficiency. Enhanced cooperation, knowledge sharing and interoperability among energy system actors for secure and seamless data exchange. Advanced methodologies for AI model development ensuring that the results are FAIR (Findable, Accessible, Interoperable, Reusable) beyond the project ending, open source and accommodating for technology evolution. Scope: The quality of AI models depends strongly on the amount, quality, and representativeness of the data used for their training. Projects are expected to focus on developing, training and testing AI foundation models, using extensive data sets to accelerate the energy transition in key focus areas of the energy sector. Projects are expected to: Building on the results of previously funded projects on the Common European energy data space [1] as well as the ongoing work within the Data 4 Energy expert group, projects are expected to demonstrate innovative methods and data governance strategies for sharing data among various energy ac…[E3]
Quem pode se inscrever
- CondiçãoEU grant rules apply: check the call conditions for who can apply, consortium rules and co-funding.[E4]
Financiador
O que mais este financiador ofereceEuropean Commission
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Evidências9 fatos do aviso · MostrarOcultar
Cada dado desta página vem do edital do financiador. Cada item mostra o registro e o campo de onde foi lido.
- E1
The funder is European Commission.
De Data sharing to support the training and development of AI foundation models in… (ID HORIZON-CL5-2026-11-D3-23), campo /metadata/type/0, lido 28 de out. de 2026, 21:22 UTC · fonte (abre em nova aba)
- E2
Proposals must be submitted by 1 Dec 2026, 01:00 Central European time (UTC+1).
“2026-12-01T00:00:00.000+0000”
De Data sharing to support the training and development of AI foundation models in… (ID HORIZON-CL5-2026-11-D3-23), campo /metadata/deadlineDate/0, lido 28 de out. de 2026, 21:22 UTC · fonte (abre em nova aba)
- E3
The buyer describes the requirement in the notice.
“Expected Outcome: Projects are expected to contribute to all the following expected outcomes: Effective and innovative methods for gathering, sharing and using large data sets in energy applications for the purpose of training AI models while ensuring privacy and security. Advan…”
De Data sharing to support the training and development of AI foundation models in… (ID HORIZON-CL5-2026-11-D3-23), campo /metadata/descriptionByte/0, lido 28 de out. de 2026, 21:22 UTC · fonte (abre em nova aba)
- E4
EU grant rules apply: check the call conditions for who can apply, consortium rules and co-funding.
“EU call topic”
De Data sharing to support the training and development of AI foundation models in… (ID HORIZON-CL5-2026-11-D3-23), campo /metadata/type/0, lido 28 de out. de 2026, 21:22 UTC · fonte (abre em nova aba)
- E5
This is an EU call for proposals.
“31094502”
De Data sharing to support the training and development of AI foundation models in… (ID HORIZON-CL5-2026-11-D3-23), campo /metadata/status/0, lido 28 de out. de 2026, 21:22 UTC · fonte (abre em nova aba)
- E6
Applications open on 4 Aug 2026.
“2026-08-04T00:00:00.000+0000”
De Data sharing to support the training and development of AI foundation models in… (ID HORIZON-CL5-2026-11-D3-23), campo /metadata/startDate/0, lido 28 de out. de 2026, 21:22 UTC · fonte (abre em nova aba)
- E7
The Funding & Tenders Portal gives the status as open for submission.
De Data sharing to support the training and development of AI foundation models in… (ID HORIZON-CL5-2026-11-D3-23), campo /metadata/status/0, lido 28 de out. de 2026, 21:22 UTC · fonte (abre em nova aba)
- E8
The notice is titled "Data sharing to support the training and development of AI foundation models in the energy sector".
De Data sharing to support the training and development of AI foundation models in… (ID HORIZON-CL5-2026-11-D3-23), campo /metadata/title/0, lido 28 de out. de 2026, 21:22 UTC · fonte (abre em nova aba)
- E9
The EU contribution per grant is up to EUR 40,000,000 (from EUR 4,500,000).
De Data sharing to support the training and development of AI foundation models in… (ID HORIZON-CL5-2026-11-D3-23), campo /metadata/budgetOverview/0, lido 28 de out. de 2026, 21:22 UTC · fonte (abre em nova aba)
Source: EU Funding & Tenders Portal, © European Union, CC BY 4.0. SLETOR shortened and reformatted the text. Licença dos dados: Creative Commons Attribution 4.0 (European Commission) (abre em nova aba). Dados de contato pessoais dos avisos não são guardados nem exibidos.
Atualizações
Vista pela primeira vez · 28 de out. de 2026, 21:22 UTC
The funder published the call with a future closing date.
Registro de origem: Data sharing to support the training and development of AI foundation models in… (ID HORIZON-CL5-2026-11-D3-23)