EnerTEF

The Future of Energy through AI Testing and Experimentation

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Our Vision

Reference Architecture

Establish a Reference Architecture (RA) for an Open Interoperable Common Federated European-scale Energy AI TEF accessible to all the players of the energy ecosystem.

Compliance Framework

Establish a regulatory/legal/ethical compliance framework contributing to the effective implementation of the EU Artificial Intelligence Act (EU AI Act) in the development lifecycle of trustworthy AI-powered services.

Energy Hub

Leverage local node-level energy infrastructures availability, energy stakeholders’ know-how and ENERSHARE Data Space Building Blocks to instrument an open, standardisable and Energy Data Space compliant interoperability and trust infrastructure for the adaptation and upscale of data-driven trustworthy AI-powered services and Apps.

EnerTEF Integration

Integrate, deploy, operate and maintain the Federated Common European-scale Energy AI Testing and Experimentation Facility (EnerTEF), facilitating regulatory sandboxes for supervised testing and experimentation in real environments.

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Testing Our Innovations in Action

countries

Germany, Italy, France, Greece, Netherlands, Luxemburg, Slovenia, Portugal, Spain, Sweden

nodes

TEF DSO Node, TEF EV Node, TEF BUILD Node, TEF RES Node, TEF TSO Node

satellites

TEF H2 Satellite, TEF IND Satellite, TEF DHN Satellite

--> Select a country to discover detailed information about ongoing pilot projects there.

Roadmap

August 2025

Testing services catalogue for AI solutions

November 2025

First wave of EnerTEF solutions

July 2026

Second wave of EnerTEF solutions versions

November 2026

Successful demonstration of solution in the nodes and satellites

February 2027

Final wave of EnerTEF solutions with full functional implementation

August 2027

Demonstration of EnerTEF solutions in facilities outside the consortium

October 2027

Attraction of funding schemes funding schemes & Design of Go-to-Market business plans

Services Catalogue

EnerTEF provides a detailed catalogue of testing and experimentation services for AI tools across different fields in the energy sector.

AI-Based Hydrogen Leak Detection and Localization

UTBM

The service is intended to be evaluated using historical datasets containing both normal operation and leak scenarios. The evaluation framework would separate training and testing data to ensure a robust assessment of detection and localization performance. Performance is expected to be measured using standard classification metrics, including accuracy, precision, recall, F1-score, and false alarm rate for leak detection, along with localization accuracy for identifying the leak position. Visual analysis of sensor signals and detected events would further support validation of the model’s ability to capture abnormal behaviour.

Monitoring & Anomaly Detection

AI-Based Multi-Energy Demand Forecasting (Electricity and Hydrogen)

UTBM

The Multi-Energy Demand Forecasting service delivers AI-driven forecasts of electricity and hydrogen demand using time-series data from integrated energy systems. Based on advanced deep learning architectures (LSTM, TCN, Transformers), the service models interdependencies between electricity and hydrogen demand across coupled systems such as microgrids, industrial facilities, and energy hubs, supporting operational planning and resource allocation.

Predictive & Prescriptive Analytics

Operational Scheduling for DHN

Veolia

The Operational Scheduling for DHN service generates optimal operational schedules for the district heating network by translating demand forecasts and real-time data into actionable control strategies. Using forecast-driven optimisation combined with rule-based and data-driven techniques, the service recommends supply temperature setpoints, load distribution plans, and operation timelines to maximise energy efficiency and minimise operational costs.

Predictive & Prescriptive Analytics
Optimization & Decision Support

Anomaly Detection and Fault Diagnosis in DHN

Veolia

The Anomaly Detection and Fault Diagnosis service detects abnormal patterns in the Torrelago district heating network using AI-based techniques applied to real-time and historical data. By establishing expected behavioural baselines from historical patterns and continuously comparing real-time data against these baselines, the service provides early warnings of inefficiencies, faults, and unexpected operational conditions.

Monitoring & Anomaly Detection

Visit the full Catalogue

News & Events

EnerTEF Workshop at AI in Energy 2026: Mobilising the Greek Startup Ecosystem

On Monday 5 October 2026, EnerTEF hosts a workshop for Greek startups, spin-offs and SMEs at the Serafeio of the City of Athens. The workshop runs from 15:00 to 16:30 and is part of AI in Energy 2026, the conference co-organised by the Hellenic Association for Energy Economics (HAEE) and the Decision Support Systems Laboratory (DSS Lab) of EPU-NTUA.

For many young companies, building a prototype is only the first step. The harder part is proving that the solution works on real infrastructure, with real data and real users. EnerTEF helps with exactly that. It is a European network of testing and experimentation facilities for AI in energy, offering access to real buildings, renewable plants and production lines, as well as energy data, computing resources and tools for running experiments.

Date: Monday 5 October 2026, 15:00–16:30
Venue: Serafeio, City of Athens
Registration: https://1staiinenergy.eventsadmin.com/Register
Full conference programme (starts at 10:00): https://www.haee.gr/conferences-and-events/haee-events/ai-in-energy/1st-ai-in-energy-2026/

What's on the agenda

The first session shows what a startup can test in Greece today and how to get access:

TEF BUILD (Symeon Chorozoglou, NTUA): testing AI on real buildings at the PPC Innovation Hub and in City of Athens buildings
TEF RES Greece (Vasilis Michalakopoulos, NTUA): testing AI on real data from three PPC hydropower plants, a PV plant and a wind farm
TEF IND (Alexios Papacharalampopoulos, University of Patras): testing AI on real manufacturing processes and a manufacturing digital twin
EnerTEF Portal (Konstantinos Touloumis, European Dynamics): a live demo, from sign-up to requesting a first experiment

The second session is a roundtable, "From testbed to SMEs and startups". Vasilis Kotrogiannis (NTUA) moderates, and the panellists are:

Grammatiki Papazoglou (City of Athens)
Giorgos Stefas (Smart Attica EDIH)
Nikos Kakardakos (Merit Consulting House)
Symeon Chorozoglou (NTUA)

The panel will discuss what end users need, what holds startups back and what support is available before and after testing. The workshop closes with questions from the audience and next steps for startups.

Who should attend

The workshop is for startups, spin-offs and SMEs working on AI, data or software for buildings, renewables, industry, grids, e-mobility, storage or flexibility. Incubators, accelerators and other innovation ecosystem actors are also welcome.

Greek Language

Ημερίδα EnerTEF στο AI in Energy 2026: Κινητοποιώντας το ελληνικό οικοσύστημα startups

Τη Δευτέρα 5 Οκτωβρίου 2026, το EnerTEF διοργανώνει ημερίδα για ελληνικές startups, spin-offs και ΜμΕ στο Σεράφειο του Δήμου Αθηναίων. Η ημερίδα θα διεξαχθεί 15:00–16:30, στο πλαίσιο του συνεδρίου AI in Energy 2026, που συνδιοργανώνουν η Ελληνική Εταιρεία Ενεργειακής Οικονομίας (HAEE) και το Decision Support Systems Laboratory (DSS Lab) του ΕΠΙΣΕΥ-ΕΜΠ.

Για πολλές νέες επιχειρήσεις, η ανάπτυξη ενός πρωτοτύπου είναι μόνο το πρώτο βήμα. Η μεγαλύτερη πρόκληση είναι να αποδείξουν ότι η λύση τους λειτουργεί σε πραγματικές υποδομές, με πραγματικά δεδομένα και πραγματικούς χρήστες. Σε αυτό ακριβώς βοηθά το EnerTEF. Πρόκειται για ένα ευρωπαϊκό δίκτυο υποδομών δοκιμών και πειραματισμού για την Τεχνητή Νοημοσύνη στην ενέργεια. Προσφέρει πρόσβαση σε πραγματικά κτίρια, σταθμούς ΑΠΕ και γραμμές παραγωγής, καθώς και σε ενεργειακά δεδομένα, υπολογιστικούς πόρους και εργαλεία για την εκτέλεση πειραμάτων.

Πρακτικές πληροφορίες

Ημερομηνία: Δευτέρα 5 Οκτωβρίου 2026, 15:00–16:30
Χώρος: Σεράφειο του Δήμου Αθηναίων
Εγγραφή: https://1staiinenergy.eventsadmin.com/Register
Πλήρες πρόγραμμα του συνεδρίου (ξεκινά στις 10:00): https://www.haee.gr/conferences-and-events/haee-events/ai-in-energy/1st-ai-in-energy-2026/

Το πρόγραμμα

Η πρώτη ενότητα παρουσιάζει τι μπορεί να δοκιμάσει σήμερα μια startup στην Ελλάδα και πώς αποκτά πρόσβαση:

TEF BUILD (Συμεών Χορόζογλου, ΕΜΠ): δοκιμές AI σε πραγματικά κτίρια, στο PPC Innovation Hub και σε κτίρια του Δήμου Αθηναίων
TEF RES Ελλάδα (Βασίλης Μιχαλακόπουλος, ΕΜΠ): δοκιμές AI με πραγματικά δεδομένα από τρεις υδροηλεκτρικούς σταθμούς, ένα φωτοβολταϊκό και ένα αιολικό πάρκο της ΔΕΗ
TEF IND (Αλέξιος Παπαχαραλαμπόπουλος, Πανεπιστήμιο Πατρών): δοκιμές AI σε πραγματικές βιομηχανικές διεργασίες και σε ψηφιακό δίδυμο παραγωγής
EnerTEF Portal (Κωνσταντίνος Τουλούμης, European Dynamics): ζωντανή επίδειξη, από την εγγραφή έως το αίτημα για το πρώτο πείραμα

Η δεύτερη ενότητα είναι στρογγυλή τράπεζα με θέμα «Από τις υποδομές δοκιμών στις ΜμΕ και τις startups». Τη συζήτηση συντονίζει ο Βασίλης Κοτρογιάννης (ΕΜΠ) και συμμετέχουν:

Γραμματική Παπάζογλου (Δήμος Αθηναίων)
Γιώργος Στέφας (Smart Attica EDIH)
Νίκος Κακαρδάκος (Merit Consulting House)
Συμεών Χορόζογλου (ΕΜΠ)

Θα συζητήσουν τις ανάγκες των τελικών χρηστών, τα εμπόδια που συναντούν οι startups και την υποστήριξη που υπάρχει πριν και μετά τη δοκιμή. Η ημερίδα κλείνει με ερωτήσεις από το κοινό και τα επόμενα βήματα για τις startups.

Σε ποιους απευθύνεται

Η ημερίδα απευθύνεται σε startups, spin-offs και ΜμΕ που αναπτύσσουν λύσεις AI, δεδομένων ή λογισμικού για κτίρια, ΑΠΕ, βιομηχανία, δίκτυα, ηλεκτροκίνηση, αποθήκευση ενέργειας ή ευελιξία. Είναι επίσης ανοιχτή σε θερμοκοιτίδες, επιταχυντές και φορείς του οικοσυστήματος καινοτομίας.

EnerTEF at the NTUA Researchers’ Night 2026

EnerTEF will participate in the Researchers’ Night 2026, organised by the National Technical University of Athens (NTUA) on Friday, 25 September 2026, at the Zografou Campus in Athens.

From 17:00 to 23:00, NTUA will open its doors to the public as part of the European Researchers’ Night, bringing research, science and innovation closer to citizens and offering visitors the opportunity to meet researchers, discover new technologies and explore ongoing research activities.

EnerTEF will be there with its own interactive stand, inviting visitors to discover how Artificial Intelligence can support the transformation of the European energy sector.

At the EnerTEF stand, visitors will have the opportunity to:

discover what EnerTEF the Common European-scale Energy AI Federated Testing and Experimentation Facility is and how it supports the testing and validation of AI solutions for energy;
learn more about the project’s testing facilities, services and activities across Europe;
interact with the EnerTEF team and discuss the role of AI in areas such as smart grids, renewable energy, buildings and electromobility;
take part in an interactive dashboard game, offering a hands-on and engaging way to explore energy-related data and concepts.

EnerTEF at AI in Energy 2026!

As part of AI in Energy 2026, EnerTEF will organise a Capacity Building Workshop on Monday, 5 October 2026, from 15:00 to 16:30 (Athens time / EEST) at Serafio, Athens.

The workshop will focus on how the EnerTEF Portal and the project’s testing and experimentation facilities can support startups and SMEs in developing, testing and validating AI-based services for the energy sector. Special emphasis will be placed on TEF BUILD and TEF IND, highlighting opportunities for companies working in areas such as buildings, industry, energy efficiency, flexibility, e-mobility and digital energy services.

The session will explore the needs of end users, demonstrate how innovative companies can engage with the EnerTEF ecosystem, and present how startups and SMEs can benefit from access to infrastructure, data, experimentation environments and support services. It will also provide an opportunity to better understand how AI solutions can move from concept and prototype to testing in real or near-real operating conditions.

Participants will have the chance to learn more about:

the EnerTEF Portal and how to access it,
the opportunities offered by TEF BUILD and TEF IND,
the needs and expectations of end users,
and how SMEs and startups can develop and test their own AI-enabled energy services.

The workshop is organised in the framework of AI in Energy 2026, co-organised by HAEE and DSS Lab / EPU-NTUA.