Universal, open-source and cybersecure Digital Twin to provide investors in onshore wind farms valuable insights about current operations and future investments.

Project Information

TWINVEST

Grant agreement ID: 101146936

DOI

10.3030/101146936

EC signature date 25 June 2024

Start date 1 July 2024

End date 31 December 2027

Funded under

• Climate, Energy and Mobility

Total cost

No data

EU contribution

€ 5 370 902,51

Coordinated by

RELIABILITY AND SAFETY TECHNICAL CENTER
Belgium

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (3)

Spatial Planning of Onshore Wind Farms in the EU: Policies, Restrictions and Comparative Analysis,

Author(s): A. Aggelakakis,G. Ntanis, T. Griva, I. Benekos and M. Boile
Published in: Book of Abstracts: 7th Panhellenic Conference of Urban Planning, Spatial Planning & Regional Development (PRDCON7), 2025
Publisher: Prdcon7 Conference

Critical Infrastructure Security: An Extreme Events Risk Assessment Approach for On-shore Wind Farms

Author(s): G. Ntanis, A. Aggelakakis, and M. Boile
Published in: Proceedings of the 15th International Conference on Business Information Security (BISEC 2024), Issue Vol-3971, 2025, ISSN 1613-0073
Publisher: 1Centre for Research and Technology Hellas

Adaptation of the Loss Distribution Approach in Climate Extreme Risk Analysis for Wind Farm Digital Twin Decision Support Systems

Author(s): I. Benekos , G. Ntanis, A. Aggelakakis,G. Ntanis, T. Griva, M. Boile and V. Kappatos
Published in: "Proceedings of the 12th International Conference on ""Energy, Sustainability and Climate Crisis"" 2025", 2025, ISSN 3057-4269
Publisher: Department of Mechanical Engineering, University of Thessaly

Peer reviewed articles (2)

Integrating agentic AI and digital twins for intelligent decision-making systems

Author(s): Agus Hasan, Dong Trong Nguyen
Published in: Array, Issue 29, 2026, ISSN 2590-0056
Publisher: Elsevier BV
DOI: 10.1016/J.ARRAY.2026.100721

Agentic AI in Wind Energy Systems: Multi-Agent Architectures for Optimization and Resilience

Author(s): Agus Hasan, Ege Kandemir, Dmitrij Mordasov, Dong Trong Nguyen
Published in: IEEE Access, Issue 14, 2026, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2026.3654529