In conjunction with the recent 19th Artificial Intelligence Applications and Innovations (AIAI 2023) International Hybrid Conference (held in Leon, Spain & Web, on June 14-17, 2023), the 8h Workshop on “5G – Putting Intelligence to the Network Edge” (5G-PINE 2023) has taken place, under the organizational framework of the Smart5Grid project and by the full supervision and the coordination of OTE (Hellenic Telecommunications Organization S.A.).

This Workshop, being the 8th – in turn – and following to the successful tradition of its predecessors, has been established to disseminate knowledge obtained from ongoing EU projects (coming from the 5G-PPP/H2020 and 6G-IA/SNS frameworks) well as from any other action of EU-funded research, in the wider thematic area of 5G and with the aim of focusing on Artificial Intelligence (AI) in modern 5G and beyond (B5G), telecommunications infrastructures.
For once again, the 5G-PINE 2023 Workshop has emphasized upon presenting associated results, methodologies, trials, concepts and/or other findings originating from technical reports coming from related pilot actions and/or other relevant 5G-/B5G-based applications, intending to enhance intelligence to the network edge.
The 5G-PINE 2023 Workshop was a joint effort for the dissemination of research-based results as well as for the exchange of knowledge between several H2020 EU-funded projects. In particular, three EU-funded H2020/5G-PPP projects (i.e.: Smart5Grid (Grant Agreement No.101016912), 5G-ERA (Grant Agreement No.101016681) and MARSAL (Grant Agreement No.101017171)), one EU-funded Horizon Europe/JU-SNS project (i.e., 6G-BRICKS (Grant Agreement No.101096954)) and one EU-funded Horizon Europe (i.e., OASEES (Grant Agreement No.101092702)) have joined their effort towards creating the core context so that to “attract” participation of other projects as well.

Following to the long and effective tradition of past 5G-PINE events, the 2023 Workshop has also been a great success, as a total of thirteen (-13-) papers have been presented and discussed interactively in three distinct sessions, promoting progress originating from nine (-9-) research projects as follows:
(i) four (-4-) ongoing H2020/5G-PPP European projects (i.e.: Smart5Grid, 5G-ERA, MARSAL and 5G-VICTORI);
(ii) two (-2-) Horizon Europe/JU-SNS projects emphasizing upon 6G aspects (i.e., 6G-BRICKS and ETHER);
(iii) two Horizon Europe projects (i.e., OASEES and NEMO), and;
(iv) one specific project (i.e., Immersive Virtual, Augmented and Mixed Reality Center Of Epirus) funded by the Operational Programme NSRF 2014-2020 and co-financed by Greece and the European Union.
The event has been an excellent opportunity for establishing collaboration links and “paths” for exchanging knowledge between the participating projects (especially between Smart5Grid and 5G-ERA, as both belong in the same ICT-41 Call).

Smart5Grid project’s partner OTE, has been responsible for the organization of the entire Workshop. Dr. Ioannis Chochliouros from OTE (also 5G-PINE Program Chair and Editor of the Proceedings) and Mr. Michalis Rantopoulos from OTE have prepared a synergetic Smart5Grid paper where several features of the project have been discussed and further assessed.

In particular, the paper has focused upon the critical role performed by Phasor Measuerement Units (PMUs) and also discussed how the 5G network may assist in the transfer of the measurements with its low latency capabilities and high availability criteria. Based on a Smart5Grid project’s dedicated use case, the concept of 5G enhanced wide area monitoring was presented, along with the associated field platform implementations both in Greece and Bulgaria. A complete list of defined Field Platform Validation Metrics (FPVM) was also elaborated with the equivalent targeted values, in order to create a framework for evaluating expected trials and corresponding field implementations.

The paper has been presented by Mr. Rantopoulos in a Session chaired by Dr. Chochliouros.

The Workshop’s organizational process has also been supported by the Smart5Grid Project Coordinator, Mr. Daniele Porcu from ENEL.

Regarding the presented paper, this was as follows:

“Smart5Grid Testing Strategy & Field Implementations for RT Wide Area Monitoring of Interconnected Systems”, I.P. Chochliouros, D. Brodimas, N. Tzanis, M. Rantopoulos, D. Shangov, G. Hristov, A. Velkov, I. Ciornei and D. Porcu. In Proceedings of the 8th (Smart5Grid-, MARSAL-, 5G-ERA-, OASEES- and 6G-BRICKS-based) Workshop on 5G-

Putting Intelligence to the Network Edge (5G-PINE 2023) / AIAI-2023 International Conference, June 14-17, 2023, Léon, Spain (Hybrid Conference). In: I. Maglogiannis, L. Iliadis, A. Papaleonidas and I. Chochliouros (Eds.), Artificial Intelligence Applications and Innovations (AIAI) 2023 IFIP WG 12.5 International Workshops: MHDW 2023, 5G-PINE 2023, AIBMG 2023 and VAA-CP-EB 2023; IFIP Advances in Information and Communication Technology (AICT), vol.677, pp.126-138. Springer Nature Switzerland AG.
ISBN: 978-3-031-34170-0; ISBN (eBook): 978-3-031-34171-7; ISSN: 1868-4238;
ISSN (electronic): 1868-422X.
DOI: https://doi.org/10.1007/978-3-031-34171-7_10.

The integration of renewable energy sources in the electrical grid imposes several operational issues for the energy markets and the transmission system operators, in particular. It is of great importance not only to detect events, but also to react in time to prevent faults in the transmission system that could lead to outages for the consumers or even to permanent damage to the energy equipment. Towards this scope, the criticality of the role of the Phasor Measurement Units (PMUs) which provide readings of voltage, frequency and current, is explained in this paper. It is also discussed how the 5G network may assist in the transfer of the measurements with its low latency capabilities and high availability criteria. Based on a Smart5Grid project’s dedicated use case, the concept of 5G enhanced wide area monitoring is presented along with the associated field platform implementations both in Greece and Bulgaria. A complete list of defined Field Platform Validation Metrics is also elaborated with the equivalent targeted values.