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Scientific Publications
Peer-reviewed scientific publications of the consortium documenting and disseminating EnerTEF project outputs.
Engineering Applications of Artificial Intelligence, Volume 164, Part B
Title: A federated Artificial Intelligence testing and experimentation facility for the European energy sector
Date:
Authors:
Elissaios Sarmas, Alexandre Lucas, Andrés Acosta, Ferdinanda Ponci, Pedro Rodriguez, Vangelis Marinakis
Journal:
Engineering Applications of Artificial Intelligence
Description:
Energy and AI, Volume 22, 2025, 100607
Title: Consumer phase identification in distribution grids using Graph Neural Networks based on synthetic and measured power profiles
Date:
Authors:
Chandra Sekhar Charan Dande, Nikolaos A. Efkarpidis, Matthias Christen, Mirko Ginocchi, Antonello Monti
Journal:
Energy and AI
Description:
ESAIM 2025
Title: Using Neural Operators as manufacturing processes digital twins: the case of laser processes in Industry 5.0
Date:
Authors:
Nikolaos Bourlesas, Alexios Papacharalampopoulos and Panagiotis Stavropoulos
Journal:
Description:
IISA 2025
Title: Short-Term forecasting of hydropower plant generation using the Prophet model
Date:
Authors:
Afroditi Fragkiadaki, Elissaios Sarmas, Anestis Anastasiadis, Panagiotis Papadimitriou, Vangelis Marinakis
Journal:
IEEE
Link:
Description:
IISA 2025
Title: Athens Energy Portal: A digital energy platform for intelligent energy management for smart cities
Date:
Authors:
Symeon Chorozoglou, Elissaios Sarmas, Giorgos Korbakis, Areti Samara, Nikos Chrysogelos, Haris Doukas
Journal:
IEEE
Link:
Description:
https://github.com/seblessa/Chronos-Imputer-Research
Title: Synthetic Data Generation for Time Series Imputation: Comparing the Foundation Model Chronos with Established Methods
Date:
Authors:
Sebastião Santos Lessa, Alexandre Lucas
Journal:
IEEE
Description:
This paper compares the Chronos foundation model to established imputation methods such as linear interpolation, KNN, and Gaussian Mixture Models for filling missing values in time series. Results demonstrate Chronos’s strength in maintaining temporal consistency and generating realistic synthetic data, despite higher computational demands — insights that are valuable for improving energy system simulations and resilience.
https://www.cigre-cired.si/en/event/17-konf/
Title: KORIŠČENJE PODATKOV ZAŠČITNIH RELEJEV ZA UPRAVLJANJE Z ODKLOPNIKI
Date:
Authors:
Jošt Osolin, dr. Mitja Antončič, Miha Bečan
Journal:
Link:
Description:
This paper will be presented by ELES at the 17th Conference of Slovenian Electric Power Engineers (CIGRE-CIRED Slovenia). It explores the use of protection relay data for circuit breaker control. It is highly aligned with Use Case 1 of the TEF TSO and serves as a foundational contribution to the topic. The insights presented are expected to spark a fruitful discussion among system operators and market players on the evolving needs and opportunities in protection relay analytics—critical for shaping the design and functionalities of the Testing and Experimentation Facility for TSOs under EnerTEF.
This paper will be presented by ELES at the 17th Conference of Slovenian Electric Power Engineers (CIGRE-CIRED Slovenia). It explores the use of protection relay data for circuit breaker control. It is highly aligned with Use Case 1 of the TEF TSO and serves as a foundational contribution to the topic. The insights presented are expected to spark a fruitful discussion among system operators and market players on the evolving needs and opportunities in protection relay analytics—critical for shaping the design and functionalities of the Testing and Experimentation Facility for TSOs under EnerTEF.
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