add EnerTEF project

Author: gcerar

content/projects/EnerTEF/EU-funded.png

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+---
+# Project's title
+title: "EnerTEF: Common European-scale Energy Artificial Intelligence Federated Testing and Experimentation Facility"
+
+# Featured image used for thumbnail and banner at detail page
+featured_image: "EU-funded.png"
+
+# Short summary of the project
+summary: "The AI-ASSIST project focuses on developing a real-time dynamic stability assessment (DSA) tool for electric power systems, using artificial intelligence to enhance stability monitoring in response to rapidly changing environmental and technological demands. The project aims to integrate advanced monitoring infrastructure with AI techniques to predict and address potential instabilities in power systems. Organizations involved in this initiative include the University of Ljubljana's Faculty of Electrical Engineering (UL-FE), the Jožef Stefan Institute (JSI), and ELES, Slovenias national transmission system operator. The Jožef Stefan Institute is responsible for developing and optimizing AI techniques for database management and real-time recognition of power system conditions."
+
+# When project started and ended
+date_start: "2024-11-01"
+date_end: "2027-10-31"
+
+# Project website URL
+project_url: "https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/projects-details/43108390/101172887/HORIZON"
+
+# Tags/Categories
+tags:
+- energy
+- TEF
+- ICT
+- AI in Energy
+- CEE-AI-TEF
+---
+
+EnerTEF responds to the soaring demand for reliable AI products in the evolving energy sector. It pioneers a Common Federated AI Testing and Experimentation Facility to bridge the gap between demand and limited availability of rigorously tested AI products. Aligned with European Commission initiatives, EnerTEF leverages foundational projects like the Common European Energy Data Space and AIoD. Through specialized 'AI Living Labs,' EnerTEF fosters collaboration between energy stakeholders and AI developers to create adaptive models that align with evolving energy systems. 'Bridging Centralized Access' ensures data privacy and security in federated testing, adhering to EU regulations and addressing ethical concerns. 'Seamless Federated Integration' tackles integrating AI technologies across domains, enhancing cross-sector collaboration. 'Long-term Sustainability and Go-to-Market Strategy' focuses on bringing AI innovations to market. In a nutshell, EnerTEF's primary goal is to establish a Common European-scale Energy AI Federated TEF, facilitating extensive adaptation, validation, and upscale of AI tools and services across the energy sector. The project's network of five primary nodes, complemented by three satellites, ensures a comprehensive approach to testing AI-based technologies in real-world operational environments. This setup contributes to the market uptake of trustworthy AI, ensuring their readiness, accessibility, and applicability to real-world scenarios.
+
+Τhe EnerTEF project has received funding from the European Union’s HORIZON-CL5-2024 under Grant Agreement No. 101172887 (Research and Innovation Action).