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CORDIS

Shaping consumer-inclusive data pathwaYs towards the eNERGy transItion, through a reference Energy data Space implementation

Resultado final

1st version of SYNERGIES Requirements and Detailed Architecture Design

1st version of SYNERGIES Requirements and Detailed Architecture Design (R, PU, M12): Report on the end-user and business requirements (including an analysis of the socio-economic and regulatory barriers) and the project MVP, accompanied by the corresponding technical design and specifications of the individual components and integrated SYNERGIES solution.

Project Management Plan

Project Management Plan R PU M3 Includes all project management procedures and templates a detailed technical implementation plan the risk assessment and ethics monitoring frameworks

SYNERGIES Dissemination, Communication and Engagement Plan

A roadmap for the setup of the SYNERGIES living lab and the planning of the dissemination communication and engagement activities of the project It involves also the delivery of the initial communication material of the project

Data Management Plan

It will include the initial DMP along the FAIR principles and the corresponding roles of partners and resources to be utilized It is provided as a separate deliverable due to the strong datarelevant nature of the project Updates of the DMP will be provided as part of the Periodic Management Reports

Publicaciones

Enriching Neural Network Training Dataset to Improve Worst-Case Performance Guarantees

Autores: Rahul Nellikkath; Spyros Chatzivasileiadis
Publicado en: 2023 IEEE Belgrade PowerTech, 2023, ISSN 1803-7232
Editor: IEEE
DOI: 10.1109/PowerTech55446.2023.10202770

Design and Implementation of a Versatile OpenHAB IoT Testbed with a Variety of Wireless Interfaces and Sensors

Autores: Sotirios Tsakalidis, George Tsoulos, Dimitrios Kontaxis and Georgia Athanasiadou
Publicado en: Telecom, Edición 4, 2023, ISSN 2673-4001
Editor: Telecom
DOI: 10.3390/telecom4030026

Physics Informed Neural Networks for Phase Locked Loop Transient Stability Assessment

Autores: Rahul Nellikkath; Andreas Venzke; Mohammad Kazem Bakhshizadeh; Ilgiz Murzakhanov; Spyros Chatzivasileiadis
Publicado en: ARXIV, 2023
Editor: ARXIV
DOI: 10.48550/arXiv.2303.12116

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